Adaptive gamma correction

Adaptive gamma correction. In contrast, the novel approach employs two modified sigmoidal functions, specifically tailored for dark and bright regions In complicated high dynamic scene, current gamma correction methods sometimes suffer from a loss of local details in certain regions of different luminance. As an efficient image contrast enhancement (CE) tool, adaptive gamma correction (AGC) was previously proposed by relating gamma parameter with cumulative distribution function (CDF) of the pixel gray levels within an image. In fact, the traditional manual May 5, 2019 · Afterwards, an adaptive gamma correction (AGC) is proposed to appropriately enhance the contrast of the image where the parameters of AGC are set dynamically based on the image information. In a first step, the technique decomposes the input medical image into four frequency sub-bands by using DWT and then estimates the singular-value matrix of the low-low (LL) sub-band image. Apr 1, 2021 · Then the decomposed illumination is refined via an adaptive Gamma correction network to handle non‐uniform illumination, while the decomposed reflectance is refined with a lightweight network. 012. In [29], Shi et al. CAEE. Dec 1, 2015 · Experimental results demonstrate that the proposed detail-preserving tone mapping for low dynamic range displays with adaptive gamma correction significantly enhances fine details of images as well as successfully preserves the overall image quality. An adaptive parameter gamma is defined using FCD. In this work, we have proposed a new method for overall contrast enhancement of the color retinal images. ACG deals well with most dimmed images, but fails for globally bright images and the dimmed images with local bright regions. 51%, 12. The parameters of the raised cosine function are suitably adjusted to meet the dynamic the suggested technique, the Pixel Adaptive Gamma Correction (PAGC) method-ology. In spite of much advancement in imaging science, captured images do not Jun 4, 2021 · Lu T (2020) Image enhancement algorithm based on statistical feature classification coupled with adaptive gamma correction [J]. Due to the limitations of image-capturing devices or the presence of a non-ideal environment, the quality of digital images may get degraded. IEEE transactions on image processing 22, no. illustrated an adaptive gamma correction with global logarithmic tone mapping. Feb 1, 2019 · For the more improvement of contrast, an adaptive gamma correction method was used that depleted gamma correction factor that adaptively determined from the cumulative distribution function of a May 9, 2020 · # import the necessary packages from __future__ import print_function import numpy as np import argparse import cv2 def adjust_gamma(image, gamma=1. The method estimates gamma values in different regions of an image and transforms individual pixels of the image following estimated gamma values. The algorithm uses gamma correction with adaptive gamma to obtain the contrast-enhanced images. where, a linear mapping is built between gamma values and the corresponding pixel intensities and so the pixel intensities are corrected adaptively. AGCWD (ADAPTIVE GAMMA CORRECTION WEIGHTED DISTRIBUTION) As we know that Power-law transformation (PLT) [2] method, in which main drawback is to give the value of gamma manually for image enhancement. Recently, convolutional Mar 1, 2013 · An automatic transformation technique that improves the brightness of dimmed images via the gamma correction and probability distribution of luminance pixels and uses temporal information regarding the differences between each frame to reduce computational complexity is presented. Global tone mapping is simple and fast because of This paper presents a new contrast enhancement algorithm based on fuzzy logic. Enhancement skimage. So, in the proposed approach gamma correction method is applied to the filtered image. Initially, a gain matrix of luminance values which is obtained by adaptive gamma correction method is used to enhance all three color channels of the images. It gains satisfied contrast Adaptive-gamma-correction 適正ガンマ補正を実装. Mar 20, 2020 · This automatic transformation uses adaptive gamma correction to increase the low intensity and avoid decrement of the high intensity. We present an automatic transformation technique that improves the brightness of dimmed images via the gamma correction and probability distribution of luminance pixels. It modifies the input image histogram dependent adaptive parameter γ with a raised cosine envelope for histogram equalization. In this paper, a real-time video-stream enhancement scheme is proposed along with a hardware prototype development. Compared with the fixed gamma correction utilized in previous methods [8, 17], the pixel-wised adaptive gamma correction is more powerful in dealing with images with non-uniform illuminations. First, the method constructs an adaptive gamma correction function according to the brightness of the original image, then adjusts the brightness of the image by using the adaptive gamma transformation. Thirdly, an enhancement factor is proposed to correct the detail image with weak structures. Fusing the input images with the enhanced virtual image works well even though both inputs are underexposed or In this paper we propose an efficient method to enhance contrast of medical images. The DAGC method processes haze on the Value band of the HSV color space by using the Gamma-correction with estimating the adaptive Gamma correction is an efficient tool typically used to adjust the contrast and brightness of digital images. Subsequently, the active grayscale range of the image processed by LAGC is further extended by using our proposed histogram statistical stretching. Jung et al. M. 1016/j. exposure. The proposed technique employs a multi-linear adaptive gamma correction method to locally enhance the dark video frames in presence of high intensity optical sources. Tradition-ally, the chemical source Cs-137 has been used in nuclear well logging to measure the formation density [3 ]. Automatic Contrast Limited Adaptive Histogram Equalization with Dual Gamma Correction (ACLAHEwDGC) is an image processing technique for contrast enhancement. Summary The Optimization-Driven Multispectral Gamma Correction (ODMGC) algorithm overcomes challenges in gathering subtle information and detecting cancer in dense breast thermograms. Due to the Jun 4, 2023 · Because of complexity and low contrast in medical images, few enhancement techniques result unwanted artifacts and information loss by affecting the structure similarity and peak signal to noise ratio. The local adaptive gamma values are designed based on the Weber curve to enhance effectively the image details. Gamma correction techniques make up a family of general Histogram modification techniques obtained by using a varying adaptive parameter γ. Generally, the brain tumor is regarded as one of the most dangerous diseases. An automatic transformation technique that improves the brightness of dimmed images via the gamma correction and probability distribution of luminance pixels is presented here. Feb 1, 2018 · Cao et al. 0) ** invGamma) * 255 for i in np. ACG deals well with most dimmed images, but fails for globally bright images and the dimmed images with local May 23, 2019 · Contrast magnification is a critical parameter of image enhancement. Here, a guided filter method is used for the refinement of the segmented sky region. Recently, an adaptive gamma correction method is proposed by relating gamma parameter with the cumulative distribution function (CDF) of gray level histograms. With our suggested strategy, we gained absolute supremacy in the entropy score as well as the colourfulness measure over standard gamma correction and histogram equalisation contrast-adjustment techniques. First, we redistribute the histogram of the block in CLAHE based on the dynamic range of each Sensors 2022, 22, 24 2 of 14 (a) (b) Figure 1. In this method we initially made a database of two feature vectors: pixel intensity histograms and dispersion vs. Dec 31, 2020 · The illumination is adjusted by adaptive gamma correction. Negative images are utilized to improve the contrast of high-luminance images. Com-pared with the fixed gamma correction utilized in previous methods [8, 17], the pixel-wised adaptive gamma correction is more powerful in dealing with images with non-uniform illuminations. Unsharp masking and Gaussian smoothing filters are also applied to improve the visibility as To associate your repository with the gamma-correction topic, visit your repo's landing page and select "manage topics. It is a non-linear operation that adjusts lightness or darkness of an image. C. Several algorithms exist for the same. The experimental results show that the algorithm proposed improves Nov 14, 2021 · BRISQUE [ 22] is a natural scene statistics-based distortion-generic no-reference image quality assessment model that is trained on images with known distortions and subjective quality scores. The proposed method enhances contrast and preserves brightness of given image using the gamma correction and homomorphic filtering. This method distinguishes between “burst-on” and “burst-off” periods based on the gamma time spectra, and derives the capture ratio in the burst-on period by iteratively fitting the capture gamma time spectra, resulting in a However, the complexity of edge structural information and the changeable intensity distribution depending on retina images reduce the performance of the segmentation tasks. Image contrast enhancement is a pre-processing step that improves efficiency of other image dealing applications such as pattern recognition and computer vision. . Discrete wavelet transform (DWT) is considered to decompose the input dark CT image in four sub-bands. Apr 1, 2019 · In this paper, an effective image contrast enhancement method called an Adaptive Gamma Correction with Weighted Histogram Distribution (AGCWHD) method is proposed to improve contrast while preserving natural color and richer details in images. Oct 15, 2016 · Abstract —Gamma correction is an efficient tool typically used to. Dec 22, 2021 · To bring out more well-exposed contents, we generate a more helpful intermediate virtual image for fusion using the proposed Optimized Adaptive Gamma Correction (OAGC) to have better contrast, saturation, and well-exposedness. Oct 26, 2022 · The contribution of the authors to the paper is as follows: The authors analyzed the loss in quality of underwater images and its causes. Feb 14, 2018 · Adaptive gamma correction algorithms are also proposed, and the gamma correction factor is computed for each input image according to its characteristics. This proposed technique utilizes the textured regions of This paper proposes a new adaptive gamma correction method. The figure illustrates this relationship. To address these issues, an adaptive generalized gamma correction enhancement algorithm for rock fracture images is This paper proposes a novel and efficient global contrast enhancement technique for dark images and low-light videos, using the Raised Cosine Adaptive Gamma Correction (RC-AGC). Gamma correction and bright modification by multi-level image decomposition have been employed for the enhancement of degraded underwater images. This paper proposes an efficient method to modify histograms and enhance contrast in digital images. Recently, an. 10. Finally, the method enhances the image by using the CLAHE algorithm to improve the May 2, 2019 · Gamma correction is a suitable method for contrast enhancement with an efficiency that directly depends on the correct selection of the Gamma coefficient. 13%. A few among these algorithms categorize images into different classes based on their statistical parameters and apply separate enhancement functions for each class. compeleceng. But this technique is unable to preserve the edge details. May 23, 2022 · Two novel deep learning-based modules, channel attention vision transformer (CAViT) and deep adaptive gamma correction (DAGC) are proposed, to tackle the complexity of edge structural information and the changeable intensity distribution depending on retina images. adjust the contrast and brightness of digital images. Feb 10, 2012 · The experimental results show that the proposed algorithm could considerably increase the image details and improve the contrast of the entire image and has significant potential for practical applications. However, May 28, 2023 · Recently, an adaptive gamma correction method is proposed by relating gamma parameter with the cumulative distribution function (CDF) of gray level histograms. Sep 25, 2023 · Rock fractures are an important indicator for assessing the quality of rock masses. Oct 18, 2016 · An adaptive gamma correction for image. 3 (2012): 1032-1041. Efficient contrast enhancement using adaptive gamma correction with weighting distribution. Kumar et al. As the preprocessing, a global enhancement method is May 14, 2021 · mination is adjusted by adaptive gamma correction. 21 enhanced the adaptive gamma correction approach (IAGCM) for images with bright patches. The Jul 9, 2022 · DCRGC (contrast_intensity, gamma) AGCWD (Adaptive Gamma Correction with Weighting Distribution) Huang, Shih-Chia, Fan-Chieh Cheng, and Yi-Sheng Chiu. Methods In this study, a newly presented algorithm was employed for optimal selection of the Gamma value by considering the entropy, edge content, and multi-objective optimization. The methods of image enhancement include gamma correction, gray ACLAHEwDGC. " GitHub is where people build software. array([((i / 255. gamma float, optional Jan 1, 2016 · Adaptive Gamma Correction with Weighting Distribution has been proposed for enhancing both images and video sequences in [6]. Aiming at the low matching accuracy and poor robustness in video sequence image matching, a video sequence image matching algorithm based on Adaptive Gamma Correction is Adaptive Gamma Correction Weighting Distribution (AGCWD) which mainly serves to enhance the contrast of the image and the Noise removal mechanism which is performed by a guided filter. The local adaptive gamma values are designed based on the Weber curve to enhance Sep 1, 2019 · Afterwards, an adaptive gamma correction (AGC) is proposed to appropriately enhance the contrast of the image where the parameters of AGC are set dynamically based on the image information. arange(0, 256 May 28, 2023 · An adaptive Gamma correction method (AGCM) was suggested by Y. Experimental results show that Abstract. Sep 13, 2017 · As an efficient image contrast enhancement (CE) tool, adaptive gamma correction (AGC) was previously proposed by relating gamma parameter with cumulative distribution function (CDF) of the pixel gray levels within an image. Jan 29, 2018 · Gamma correction is a type of Histogram modification technique in which image enhancement is achieved using an adaptive parameter called gamma (γ) . Mostafijur & Abdullah-Al-Wadud, M & Al-Quaderi, Golam Dastegir & Shoyaib, Mohammad. Enhancement plays a significant role in digital image processing, computer vision, and pattern recognition. A meta blue and white texture extraction method based on adaptive gamma correction and K-means clustering segmentation coupling algorithm has been proposed. In this paper, an adaptive local gamma correction method based on mean value adjustment is proposed, which is aimed at improve local details in both dark and bright regions in image. In the domains of image processing and computer vision, determining age from a single facial image has proven a challenging job. and Mohammad Shoyaib 1. This technique is used with gamma correction. Then, the weighting distribution function is applied to modify the statistical histogram and lessen the generation of adverse effects and probability distribution of luminance pixels. Also, we introduce dual gamma correction into CLAHE to achieve contrast enhancement while preserving naturalness. Jan 27, 2021 · Improved gamma correction: For parameter adjustment, some adaptive methods are derived, such as adaptive gamma correction based on cumulative histogram (AGCCH) , adaptive gamma correction to enhance the contrast of brightness-distorted images , adaptive correction with weight distribution (AGCWD) method , and a 2-D adaptive gamma correction The gamma correction factor can be any value between 0 and infinity. In most of the dehazed methods, the output haze-free image suffers the brightness level or color distortion problem. Parameters: image ndarray. Jan 1, 2020 · Zhuang et al [27] proposed an adaptive image dehazing algorithm based on gamma correction and multi-exposure fusion, using the mean and standard deviation of each component (R, G, B) of the color May 23, 2022 · However, the complexity of edge structural information and the changeable intensity distribution depending on retina images reduce the performance of the segmentation tasks. used three-level thresholding algorithm to segment the image Secondly, the base image is enhanced by a proposed adaptive gamma correction method. Image processing is used for the enhancement of process includes with it. Combining the characteristics of Tenglong Yuan blue and white texture, using grayscale transformation to Nov 9, 2017 · This approach is principally based on adaptive gamma correction using discrete wavelet transform with singular-value decomposition (DWT-SVD). This method extends upon the Contrast Limited Adaptive Histogram Equalization (CLAHE) method by introducing an automatic clip point as well as two levels of gamma correction. In this paper, we propose a single image dehazing method based on adaptive gamma correction (DAGC). 2017. We first separate an input color image into the luminance and chrominance channels, and then normalize the luminance channel using the logarithmic function to make it consistent with the human perception. II. Then feature extraction and description are realized by the ORB algorithm. adjust_gamma (image, gamma = 1, gain = 1) [source] # Performs Gamma Correction on the input image. Feb 10, 2012 · Following the recommendations of, 18 we used a local adaptive gamma correction (LAGC) based on the Weber's law to map the raw data to the 8 bit data representation. Aug 28, 2023 · To address these challenges, an adaptive capture gamma correction method was developed for density measurements. Dec 1, 2022 · Firstly, Adaptive Gamma Correction is used to enhance the contrast of video sequence images. Jun 4, 2023 · A Directed searching optimized texture-based adaptive gamma correction technique that effectively suppresses the effect of artifacts and significantly improves the contrast by making edges clearer and textures richer over other algorithms is proposed. 15 proposed an adaptive Gamma Correction method which determines the intensity transfer function based on the statistical characteristics of the image. To modify the histogram and to find the better-enhanced image, Huang et al. Then, we divide the luminance image into dark Dec 1, 2022 · The experimental results show that the algorithm proposed improves the correct matching rate by 19. Adaptive histogram equalization is an appropriate method for improving the quality of images. Nov 1, 2016 · To improve low contrast while preserving details and high brightness in near-infrared images, a novel method called adaptive gamma correction based on cumulative histogram (AGCCH) is studied in this paper. Google Scholar Qingzhong L, Wang F (2020) Underwater image enhancement algorithm based on histogram adaptive stretching [J]. A BRISQUE value ranges between 0 and 100. Then, we perform the retinex image enhancement on the QLD-processed images to enhance the contrast of the image. Oct 18, 2016 · An adaptive gamma correction (AGC) is proposed to appropriately enhance the contrast of the image where the parameters of AGC are set dynamically based on the image information. ie. 09. When gamma is exactly 1, the mapping is linear. 9, Fig. It works well for each class of Nov 5, 2018 · Contrast Enhancement of Brightness-Distorted Images by Improved Adaptive Gamma Correction. We automatically set the clip point for CLAHE based on textureness of a block. Convolutional Neural Network (CNN) based techniques have been frequently adopted for the classification problem in An infrared image detail enhancement method based on local adaptive gamma correction (LAGC) is proposed. 53%, and 4. The fuzzy contrast distribution (FCD) is introduced in this work. This method uses Feb 13, 2021 · We propose an efficient low-light image enhancement algorithm based on an optimization-based approach for gamma correction parameter estimation. We present an automatic transformation technique to improve the brightness of dimmed images based on the gamma correction and probability distribution of the luminance pixel. Tone mapping effectively produces high dynamic range images on low dynamic range displays. 汎用性,可逆性のある画像強調手法として提案されたAdaptive gamma correction(AGC)を実装しました Jan 31, 2023 · This paper proposes an adaptive gamma transformation. After that quantile-based histogram equalization is used to enhance overall We propose automatic contrast-limited adaptive histogram equalization (CLAHE) for image contrast enhancement. It is also tough to improve the texture region using the HE technique alone. Huang et al. 1 Brief flow of proposed G-C correction algorithm Gamma correction can compensate nonlinear transmission between image acquisition and display devices [20]. adaptive gamma correction method is proposed by relating ga Dec 6, 2023 · A gamma correction prior (GCP), which results in an effective image dehazing approach, was presented by Ju et al. 0 / gamma table = np. Traditional methods often suffer from over-enhancement in bright regions, leading to information loss and degraded image quality. proposed an improved gamma correction model for dehazing in a multiexposure fusion framework. This problem solved by the Adaptive gamma correction weighted distribution method. Next, the effect of uneven illumination is suppressed by using the bilateral gamma function for adaptive illumination correction. In this paper a very simple and efficient technique based on adaptive gamma correction and Discrete cosine transform(DCT) is proposed which can bring out the maximum information present in the image and Dec 27, 2023 · Regarding the missing texture details in the texture extraction process of Tenglong Yuan blue and white, illumination is unequal. It is always too late to detect the brain tumors, as the tumors at the early stage are always ignored. This method . The experimental results show Jan 27, 2021 · Improved gamma correction: For parameter adjustment, some adaptive methods are derived, such as adaptive gamma correction based on cumulative histogram (AGCCH) [], adaptive gamma correction to enhance the contrast of brightness-distorted images [], adaptive correction with weight distribution (AGCWD) method [], and a 2-D adaptive gamma correction method [], which takes into account the It causes artifacts in the enhanced images. An example of the proposed two-exposure image fusion. 87% respectively compared with the SIFT, ORB, and ORB+RANSAC algorithms without increasing the running time. location distributions, from nine standard images with different gamma Dec 1, 2022 · Adaptive Gamma Correction With Weighting Distribution method (AGCWD) combines histogram equalization and gamma correction [16]. Image dehazing is an important task in control systems of autonomous vehicles. These Keywords Neutron-induced gamma · Adaptive correction · Source-less density 1 Introduction The density of formation is a critical property that plays an indispensable role in reservoir evaluation [, 12]. As a result, the TDDE filter Nov 12, 2023 · Rahman et al. Nov 1, 2016 · Gamma correction techniques comprise a family of general HM techniques obtained simply by using a varying adaptive parameter γ [29]. It uses the equalized histogram to adaptively obtain the parameters in gamma correction to achieve the purpose of self-adaptation. Also known as Power Law Transform. When gamma is greater than 1, the mapping is weighted toward lower (darker) output values. Abstract. Dec 18, 2023 · Gamma correction. This function transforms the input image pixelwise according to the equation O = I**gamma after scaling each pixel to the range 0 to 1. One such algorithm is the well-known adaptive gamma correction (AGC) algorithm. Rahman, Shanto & Rahman, Md. 0): # build a lookup table mapping the pixel values [0, 255] to # their adjusted gamma values invGamma = 1. The proposed Bi-sigmoidal function-based gamma correction method addresses the challenge of enhancing dark images containing light sources. The simple form of the transform-based gamma correction (TGC) can be presented as, T ( l ) = l max l l max γ where l ∈ [ 0 , l max ] , l max is the maximum gray-value of the image, and the correct parameter γ Sep 24, 2020 · Image enhancement remains an intricate problem, crucial for image analysis. , proposed an adaptive gamma correction technique with weighting distribution (AGCWD) function. At first, the high-speed QLD is performed on images, aiming at capturing the ballistic photons. AGCWD (alpha) Jun 13, 2010 · Different from other local adaptive gamma correction methods ( [29, 10]), the proposed model is a variational type. Shi et al. The basic form of the transformed gamma correction (TGC) of an image is given by Nov 8, 2017 · In fact, an adaptive gamma correction factor is calculated for each image according to its class. In which the value of gamma is find Oct 23, 2019 · A brain tumor screening system based on adaptive gamma correction and deep learning is proposed, and the results indicate that the accuracy of the proposed system can reach 95. in the illumination chann el of the HSI color spa ce. An adaptive Gaussian notch filter was utilized to suppress or remove periodic noise from the digital images . histogram d istribution are used, and then the gamma function . With the refined reflectance and adjusted illumination, we can obtain the enhancement results This paper proposes an efficient method to modify histograms and enhance contrast in digital images. It can evaluate losses of naturalness of an image caused by possible distortions. presented a transformation technique that enhances the brightness of low-contrast images using adaptive gamma correction and probability distribution of luminance pixels [ 28 ]. Adaptive gamma correction with weighting distribution (AGCWD) [14] derives a hybrid histogram modifica-tion function combining traditional gamma correction and histogram equalization methods May 28, 2023 · Abstract. It gains satisfied contrast enhancement (CE) effects on dimmed images, but is invalid on bright regions which are universal in Feb 1, 2018 · As an efficient image contrast enhancement (CE) tool, adaptive gamma correction (AGC) was previously proposed by relating gamma parameter with cumulative distribution function (CDF) of the pixel gray levels within an image. Input image. With the refined reflectance and adjusted illu-mination, we can obtain the enhancement results via The classification of age and gender has drawn increased attention recently because of its significance in creating user-friendly intelligent systems. 10, Fig. This paper proposes two novel deep learning-based modules, channel attention vision transformer (CAViT) and deep adaptive gamma correction (DAGC), to tackle these issues. Finally, the obtained LL sub-band image undergoes inverse DWT (IDWT) together with the unprocessed Mar 31, 2024 · International Journal of Adaptive Control and Signal Processing is a signal processing journal publishing model-based control design approaches. 11. It is necessary to increase accuracy and performance of road obstacles recognition. Abdullah-Al-Wadud2, Golam Dastegir Al-Quaderi3. Accurate segmentation of the retina vessel is essential for the early diagnosis of eye-related diseases. When gamma is less than 1, the mapping is weighted toward higher (brighter) output values. It provides edge related information accurately. Remote sensing images are distance captured images, so they naturally have very low contrast as compared to other images. To enhance video This paper proposes an efficient histogram modification method for contrast enhancement, which plays a significant role in digital image processing, computer vision, and pattern recognition. Due to the fast calculation of In this research work image processing is done for direct application of digital images. (a) An input image pair with two exposures. 7, Fig. May 23, 2022 · Fig. The significant differences in the color and texture distributions of rock mass exposures lead to great challenges in the automated extraction of fractures from various low-contrast images. Jan 1, 2023 · image contrast, adaptive gamma correction with weighted . The derivation of the transform-based Nov 1, 2018 · Furthermore, our proposed spatially adaptive gamma correction (SAGC) methods perform better than the DEMs on brightness improvement, contrast enhancement, and detail preservation according to the visual results, the modified histograms, and the cropped results of the DEMs and SAGC methods shown in Fig. (b) The fused image using the proposed method. The algorithm computes FCD of the input image using fuzzy membership function and fuzzy rules. The RANSAC algorithm is optimized in matching by improving the interior point ratio after Brute Force Match. enhancement. AGCWD (Adaptive Gamma Correction with Weighting Distribution) Huang, Shih-Chia, Fan-Chieh Cheng, and Yi-Sheng Chiu. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. Because of complexity and low contrast in medical images, few enhancement techniques result unwanted artifacts and information loss by affecting Coupled algorithm based on adaptive gamma correction and K‑means clustering segmentation Adaptive gamma correction By adjusting the brightness, contrast, color, sharpness of the image, the image is processed and improved to improve the image quality or improve the image features. Shanto Rahman 1*, Md Mostafijur Rahman1, M. Nov 1, 2016 · In the adaptive gamma correction (AGC) method, there is a suitable gamma value with the statistical data obtained from the image and thus, the contrast enhancement is performed automatically [9 We propose in this paper a new enhancement algorithm dedicated to dark computed tomography (CT) scan based on discrete wavelet transform with singular value decomposition (DWT–SVD) followed by adaptive gamma correction (AGC). J Electron Measure Instrument 34(06):154–162. An infrared image detail enhancement method based on local adaptive gamma correction (LAGC) is proposed. Finally, the high-contrast optical remote sensing image is obtained by the enhanced base image with the combination of the corrected detail image. To meet these challenges, a Directed searching optimized texture-based adaptive gamma correction technique is proposed in this article. 8, Fig. xq nm uw yr tx ma tv ky ge vh