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2nd International Conference on Computer Science and Application Engineering (CSAE)

作者： Miao, Yu Song, Dalong Shi, Weili Yang, Huamin Li, Yanfang Jiang, Zhengang He, Wei Gu, Wanqing Changchun Univ Sci & Technol POB 130022 Changchun Jilin Peoples R China Peoples Liberat Army Gen Hosp POB 100853 Changchun Jilin Peoples R China

ISBN: (纸本)9781450365123

In-1 general, there are some features in the near-infrared superficial vein images such as high noise and low contrast. The edges of veins in the image are blurred. And the vascular lines are not obvious. It has high algorithm complexity and low processing efficiency in the clahe (Contrast Limited Adaptive Histogram Equalization) based on bilinear interpolation. In order to solve these problems, this paper proposed an clahe algorithm based on optimized binliner interpolation, which adds the parameter T to the interpolation function. T speeds up the interpolation speed so that the entire algorithm runs faster. Experiments show that the running speed of the algorithm is better than that of the clahe algorithm based on bilinear interpolation. Simultaneously, the enhancement effect of the algorithm on the image is the same as that of the clahe algorithm based on bilinear interpolation.

关键词： Near infrared imaging low contrast clahe algorithm bilinear interpolation

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Image Enhancement and Implementation of clahe algorithm and Bilinear Interpolation

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CYBERNETICS AND SYSTEMS 2022年

作者： Venkatesh, S. John De Britto, C. Subhashini, P. Somasundaram, K. Jeppiaar Engn Coll Dept IT Chennai Tamil Nadu India Saveetha Engn Coll Dept EEE Chennai Tamil Nadu India Vel Tech Multi Tech Dr Rangarajan Dr Sakunthala En Dept IT Chennai Tamil Nadu India Alpha Coll Engn Dept CSE Chennai Tamil Nadu India

Digital cameras have made it possible for people to capture many different images in their daily lives. Some pictures turn out well, while others don't. Additionally, noise causes variations in image quality. It is possible that these noises are caused by low light levels or other challenges with intensity. The primary goal of this proposal is to discuss ways to enhance image attributes. Using image enhancement methods, the main goal is to reduce image noise and improve image quality. HE (Histogram Equalization) is used to improve the image quality, but the results are underwhelming. Image properties are enhanced using Contrast-Limited Adaptive Histogram Equalization (clahe). Bilinear interpolation and the clahe algorithm will be used to enhance the images in the initial stages of the proposal, with the main goal being noise reduction. Second, approaches for expanding the contrast of an image have been suggested as a strategy to enhance image quality. The findings demonstrate that the suggested methodology creates great noise-free images by lowering the amount of noise in the images and boosting visual contrast.

关键词： Bilinear interpolation clahe algorithm contrast stretching noiseless image noisy image

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Research on Color Image Defogging algorithm based on MSR and clahe

Research on Color Image Defogging Algorithm based on MSR and...

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Chinese Automation Congress (CAC)

作者： Huang Weichao Yang Zhi Jiao Shangbin Liu Ding Xian Univ Technol Sch Automat & Informat Engn Xian 710048 Peoples R China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176871

To study the defogging of color images,an improved multi-scale Retinex (MSR) algorithm combined with contrast limited adaptive histogram equalization(clahe) algorithm is proposed in this paper. Two different defogging methods are proposed for the image without color deviation and the image with color *** the image without color deviation, the RGB color space of the input image is converted to the lab color *** the image is converted to RGB color space after MSR processing of L ***, the image contrast is improved by clahe algorithm. Realize the i mage defogging while keeping the original color of the i *** the image with color deviation,the input image is processed by MSR,the stretch degree of contrast is determined according to the mean and variance of the separated reflection ***, the image contrast is further improved by CLAIM;processing to realize the defogging of the restored *** experimental results show that the two algorithms in this paper have better effects in image defogging, image primary color maintenance, image scene color recovery and so on.

关键词： Color image defogging Image enhancement MSR algorithm clahe algorithm

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Infrared Image Enhancement for Photovoltaic Panels Based on Improved Homomorphic Filtering and clahe 40th

Infrared Image Enhancement for Photovoltaic Panels Based on ...

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40th Computer Graphics International Conference (CGI)

作者： Jiang, Wanchang Xue, Dongdong Northeast Elect Power Univ Sch Comp Sci Jilin 132012 Peoples R China

ISBN: (纸本)9783031500688;9783031500695

To address the problems of low contrast and low illumination of infrared images of photovoltaic panels, an infrared image enhancement for photovoltaic panels is proposed. Firstly, in order to improve the overall brightness and contrast of the infrared image, a homomorphic filtering algorithm based on improved transfer function is designed, which constructs a transfer function with a similar structure to the homomorphic filtering profile. Secondly, using the contrast limited adaptive histogram equalization (clahe) algorithm fused with gamma correction to further process the image, which not only overcomes the defects of weak details and uneven brightness of the image enhanced by homomorphic filtering, but also improves the clarity and anti-interference of the image. The experimental results show that the proposed algorithm can effectively enhance the visual effect of infrared images, and then improve the integrity of photovoltaic panels in manually labeled images and the detection accuracy of photovoltaic panels.

关键词： Image enhancement Infrared image of photovoltaic panels Homomorphic filtering clahe algorithm Gamma correction

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Sharpness evaluation algorithm for nailfold microvascular images

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SIGNAL IMAGE AND VIDEO PROCESSING 2024年第2期18卷 1515-1523页

作者： Huang, An Wu, Zhiwei Yin, Hao Ye, Qianyao Liang, Junzhao Lin, Jianan Xie, Mugui Ye, Cong Li, Xiaosong Wu, Yanxiong Foshan Univ Sch Mechatron Engn & Automat Foshan 528000 Peoples R China Foshan Univ Sch Phys & Optoelect Engn Foshan 528000 Peoples R China Ji Hua Lab Foshan 528200 Guangdong Peoples R China

Observing and analyzing nailfold microvascular images are essential for evaluating human health, but effective analysis requires high-clarity images. Autofocus technology enables the efficient and convenient acquisition of high-quality images for clinical examinations. However, successful autofocus depends on the accuracy of the sharpness evaluation algorithm. Owing to the low contrast of nailfold microvascular images and the inevitable dithering artifacts and stray light produced during acquisition, existing algorithms cannot accurately evaluate sharpness, leading to autofocus failure. To address this problem, this study proposes a sharpness evaluation algorithm that uses histogram equalization to enhance the high-frequency information of the images, applies wavelet transform to reduce the influence of dithering artifacts and stray light, and calculates the edge gradient to evaluate sharpness quantitatively. Five mainstream evaluation algorithms were compared to validate the performance of the proposed algorithm, and the results show that it outperforms the others and accurately determines the clearest image. Compared with other algorithms, the clearest image exhibits the best visual effect, with a narrow width of the evaluation curve that is 27-37% higher. The algorithm proposed in this article has better real-time applicability.

关键词： Nailfold microvessel Image processing Clarity evaluation clahe algorithm Wavelet transform Tenengrad function

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Enhancing Early Detection of Lung Cancer through Advanced Image Processing Techniques and Deep Learning Architectures for CT Scans

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Computers, Materials & Continua 2024年第10期81卷 271-307页

作者： Nahed Tawfik Heba M.Emara Walid El-Shafai Naglaa F.Soliman Abeer D.Algarni Fathi EAbd El-Samie Computers and Systems Department Electronics Research InstituteEl NozhaHuckstep Cairo12622Egypt Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia

Lung cancer remains a major concern in modern oncology due to its high mortality rates and multifaceted origins,including hereditary factors and various clinical *** stands as the deadliest type of cancer and a significant cause of cancer-related deaths *** diagnosis enables healthcare providers to administer appropriate treatment measures promptly and accurately,leading to improved prognosis and higher survival *** significant increase in both the incidence and mortality rates of lung cancer,particularly its ranking as the second most prevalent cancer among women worldwide,underscores the need for comprehensive research into efficient screening *** in diagnostic techniques,particularly the use of computed tomography(CT)scans,have revolutionized the identification of lung *** scans are renowned for their ability to provide high-resolution images and are particularly effective in detecting small,calcified areas,crucial for identifying earlystage lung ***,there is growing interest in enhancing computer-aided detection(CAD)*** algorithms assist radiologists by reducing false-positive interpretations and improving the accuracy of early cancer *** study aims to enhance the effectiveness of CAD systems through various ***,the Contrast Limited Adaptive Histogram Equalization(clahe)algorithm is employed to preprocess CT scan images,thereby improving their visual *** refinement is achieved by integrating different optimization strategies with the clahe *** CutMix data augmentation technique is applied to boost the performance of the proposed model.A comparative analysis is conducted using deep learning architectures such as InceptionV3,ResNet101,Xception,and *** study evaluates the performance of these architectures in image classification tasks,both with and without the implementation of the clahe *** empirical findings of the study demonst

关键词： Lung cancer detection clahe algorithm optimization deep learning classification feature extraction healthcare applications

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Detection of Copy-Move Forgery in Flat Region Based on Feature Enhancement 15th

Detection of Copy-Move Forgery in Flat Region Based on Featu...

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15th International Workshop on Digital-Forensics and Watermarking (IWDW)

作者： Zhang, Weiwei Yang, Zhenghong Niu, Shaozhang Wang, Junbin China Agr Univ Sch Sci Beijing 100083 Peoples R China Beijing Univ Posts & Telecommun Beijing Key Lab Intelligent Telecommun Software & Beijing 100876 Peoples R China

ISBN: (纸本)9783319534640;9783319534657

A new Feature Enhancement method based on SURF is proposed for Copy-Move Forgery Detection. The main difference from the traditional methods is that Contrast Limited Adaptive Histogram Equalization is proposed as a preprocessing stage in images. SURF is used to extract keypoints from the preprocessed image. Even in flat regions, the method can also extract enough keypoints. In the matching stage, g2NN matching skill is used which can also detect multiple forgeries. The experimental results show that the proposed method performs better than the state-of-the-art algorithms on the public database.

关键词： Copy-move forgery detection Feature enhancement method clahe algorithm Flat regions

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Research on Image Enhancement algorithm for Forest Fire under Low Illumination 24

Research on Image Enhancement Algorithm for Forest Fire unde...

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1st International Conference on Image Processing Machine Learning and Pattern Recognition

作者： Jiang, Yu Yang, Tianli Chengdu Univ Informat Technol Chengdu Peoples R China

ISBN: (纸本)9798400707032

Addressing issues such as low contrast, blurred flames and smoke, as well as forest fog interference in low-light forest fire images, an image enhancement approach based on an optimized MSRCP algorithm is proposed. This method first converts the original image from the RGB color space to the HSV color space, and applies a weighted MSR operation to the Value (V) component. Secondly, a piecewise Gamma correction is employed to adjust the brightness of the MSR-processed V component. Finally, the fused image is remapped back to the RGB color domain, and the clahe algorithm is utilized to further enhance the image contrast. Experimental results demonstrate that the improved algorithm effectively enhances the clarity of flames, smoke, and objects obscured by forest fog. Furthermore, it mitigates the common issues of overexposure and underexposure encountered in MSRCP processing. Compared to the MSRCP algorithm, the improved algorithm achieves enhancements of 2.19%, 22.44%, and 2.06% respectively in the metrics of average gradient, edge strength, and information entropy.

关键词： Low-light Image Enhancement MSRCP algorithm clahe algorithm Forest Fire Detection Piecewise Gamma Correction

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Image enhancement algorithm research based on the archives monitoring under low illumination

Image enhancement algorithm research based on the archives m...

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12th IEEE International Conference on Electronic Measurement and Instruments (ICEMI)

作者： Wang Yong Li Ting Qiu Yongsheng Nanjing Univ Posts & Telecommun Nanjing 210003 Jiangsu Peoples R China

ISBN: (纸本)9781479970711

In the archives security system. light is an important factor of image definition. has a great influence on the subsequent processing and final regulation. In this paper. aiming at the gloomy weather and night low contrast image by using histogram equalization (HE), the adaptive histogram equalization (AHE) and contrast limited adaptive histogram equalization (clahe) algorithm for image processing and comparison, this paper presents an improved algorithm of contrast limited adaptive histogram equalization based on. Firstly, the RGB and YCbCr color space conversion. Second only to the luminance component of the contrast limited adaptive histogram equalization transformation and nonlinear tension change. Finally, the output image RGB. The experimental results show that, this method not only improves the contrast of the image, and in the monitoring of archives security system in good to keep the image information, and improve the effectiveness of subsequent recognition and monitoring.

关键词： Image enhancement clahe algorithm archives monitoring

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New Enhancement Techniques for Optimizing Multimedia Visual Representations in Music Pedagogy

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TRAITEMENT DU SIGNAL 2023年第5期40卷 2131-2138页

作者： Chen, Mengmeng Xiong, Chuixiang QuJing Normal Univ Sch Mus & Dance Qujing 655011 Peoples R China Hankou Univ Sch Continuing Educ Wuhan 430212 Peoples R China

With the continuous advancement of modern educational technologies, there has been a growing interest in multimedia visual expression methods within the domain of music pedagogy. These methods aim to provide students with an intuitive and vivid learning environment, facilitating a more profound understanding of music's structure and emotions. However, despite the availability of various image enhancement techniques, many tend to focus only on certain image attributes, often neglecting a comprehensive perspective on image aesthetics and authenticity. Addressing this issue, innovative image enhancement techniques are introduced in this study: an adaptive Gamma correction method for luminance adjustment, a saturation correction method based on luminance components, and a multimedia image enhancement method founded on an improved clahe algorithm. These methods not only significantly elevate the visual effects of multimedia in music teaching but also offer substantial technical support for the modernization of music education.

关键词： music pedagogy multimedia visualization, image enhancement gamma correction, clahe algorithm

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