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3rd International Conference on Mechanical, Control, and Electronic Information (ICMCEI)

作者： Li, Zhonghai Kou, Xingyuan Cao, Hongyan Man, Xiang Shenyang Aerosp Univ Coll Automat Shenyang 110136 Peoples R China

ISBN: (纸本)9783038351559

In this paper, on the basis of the classical Retinex enhancement algorithm, we propose a msr (Multi-Scale Retinex) algorithm based on HSI color space for foggy images enhancement. This algorithm can self-adaptively choose the Scale of the filter function, and it can automatically merge the enhancement effect of the multi-scales. The algorithm can highlight the detail characteristics of target while maintaining the background smoothly. In order to improve the brightness and contrast of the image, we use the Weber's law and the characteristics of human visual system to select the scale parameters, which can better realized the foggy images enhancement.

关键词： Foggy Image Enhancement msr algorithm HSI Color Model

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Low brightness PCB image enhancement algorithm for FPGA

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JOURNAL OF REAL-TIME IMAGE PROCESSING 2025年第2期22卷 1-15页

作者： Han, Jin Zheng, Meijuan Dong, Jianye Shandong Univ Sci & Technol Sch Comp Sci & Engn Qingdao 266000 Peoples R China China Elect Technol Grp Corp 22nd Res Inst Qingdao 266107 Peoples R China

Aiming at the problem of low defect detection rate of PCB images captured by cameras in industrial scenarios under low-light environments, an MGIE (Mean-Gamma Image Enhancement) image brightness enhancement algorithm and the corresponding FPGA design scheme are proposed. Firstly, the RGB image is converted into the YCrCb color space, and the illumination component Y is separated. Then, the illumination component Y is enhanced by the msr (Multi-Scale Retinex) algorithm based on multi-scale mean filtering, and the Gamma correction algorithm is used to adjust the brightness. Subsequently, the processed Y channel is fused with the Cr and Cb channels to obtain the final output. Secondly, after algorithm research, this paper elaborates on the algorithm design and deployment scheme based on FPGA. The MGIE IP core is designed in the HLS (High-Level Synthesis) environment, and optimization and acceleration are carried out by means of creating look-up tables and constructing PIPELINE. Significantly, this research is capable of real-time processing of images in video. Specifically, images are captured in real time by the OV5640 camera, and the processed images are immediately displayed on the LCD screen. The experimental results show that the MGIE algorithm has remarkable effectiveness in processing low-light PCB images, with a PSNR (Peak Signal-to-Noise Ratio) reaching 17.34 and an SSIM (Structural Similarity Index Measure) reaching 0.79. After the end-to-end deployment, the processing speed of 1280 x 720 and 640 x 640 pixel images reaches 30fps/s and 70fps/s, respectively, meeting the needs of real-time processing.

关键词： PCB Low-light environments msr algorithm FPGA Gamma correction

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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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Guidance by multiple sheepdogs including abnormalities

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ARTIFICIAL LIFE AND ROBOTICS 2022年第4期27卷 714-725页

作者： Tashiro, Midori Kubo, Masao Sato, Hiroshi Yamaguchi, Akihiro Japan Maritime Self Def Force Shinjuku Ku Tokyo Japan Natl Def Acad 2 Dept Comp Sci Hashirimizu 1-10-20 Yokosuka Kanagawa Japan Fukuoka Inst Technol Dept Informat & Syst Engn Higashi Ku 3-30-1 Wajiro Higashi Fukuoka Japan

In this paper, we propose a method for efficiently guiding a large flock of sheep agents through the cooperation of multiple sheepdog agents even in the presence of anomalies, and verify its performance in computer experiments. In particular, this paper evaluates the proposed method extensively in addition to Tashiro et al., (Guidance by multiple sheepdogs including abnormalities. Swarm2021: The Fifth International Symposium on Swarm Behavior and Bio-Inspired Robotics, pp 1818-1823, 2022), and summarizes the effectiveness of the proposed method on six abnormal sheepdog herding systems based on three different anomalies, while changing the size of the herding *** results show that the proposed msr algorithm (LeBlanc et al., IEEE J Select Areas Commun 31(4):766-781, 2013) can guide a group of sheep agents more efficiently and reliably than an efficient extension (Tashiro et al., Herd guidance by multiple sheepdogs. In: Swarm2021: The 4th International Symposium on Swarm Behavior and Bio-Inspired Robotics, 397-408, 2021;Kubo et al., Artif Life Robot 27(2):416-427, 2022) to multiple sheepdogs of the conventional single sheepdog method (Sueoka et al., Trans Jpn Soc Mech Eng Ser C 79(800):1046-1055), even when abnormal sheepdogs are included.

关键词： Swarm Intelligence msr algorithm Malicious Attack

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ANIMAL DETECTION USING A SERIES OF IMAGES UNDER COMPLEX SHOOTING CONDITIONS 3

ANIMAL DETECTION USING A SERIES OF IMAGES UNDER COMPLEX SHOO...

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International Workshop on Photogrammetric and Computer Vision Techniques for Video Surveillance, Biometrics and Biomedicine

作者： Zotin, A. G. Proskurin, A., V Reshetnev Siberian State Univ Sci & Technol Inst Comp Sci & Telecommun Krasnoyarsk Russia

Camera traps providing enormous number of images during a season help to observe remotely animals in the wild. However, analysis of such image collection manually is impossible. In this research, we develop a method for automatic animal detection based on background modeling of scene under complex shooting. First, we design a fast algorithm for image selection without motions. Second, the images are processed by modified Multi-Scale Retinex algorithm in order to align uneven illumination. Finally, background is subtracted from incoming image using adaptive threshold. A threshold value is adjusted by saliency map, which is calculated using pyramid consisting of the original image and images modified by msr algorithm. Proposed method allows to achieve high estimators of animals detection.

关键词： Animal Detection Background Modeling Camera Traps msr algorithm

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algorithm analysis and system implementation of advanced facial information extraction and face recognition under wireless networks 17

Algorithm analysis and system implementation of advanced fac...

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IEEE 17th International Conference on Computational Science and Engineering (CSE)

作者： Lu, Lingyun Liu, Xingang Wang, Xun Shen, Zhixin Univ Elect Sci & Technol China Dept Elect Engn Chengdu Peoples R China

ISBN: (纸本)9781479979813

In recent years, there has been an emerging demand for utilizing biometrics especially face recognition in access control of secured areas and other applications like identity validation. In this paper, we develop a real-world face recognition system includes face detection and alignment, feature extraction under wireless networks. The proposed facial information extraction and face recognition system is capable of using real-time video from wireless networks. In order to reduce the influence of illumination, many preprocessing methods including Histogram equalization, Homomorphic filtering and msr algorithm are applied. For enhancing the performance and accuracy with the variations of pose and illumination, Gabor feature is extracted to represent the facial images. Experiments on a real-world dataset of 100 images belong to 20 persons are tested and results prove the system has good performance in practical situation.

关键词： face recognition system msr algorithm wireless networks

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A Novel Method for Low Illumination Image 8

A Novel Method for Low Illumination Image

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8th International Symposium on Computational Intelligence and Design (ISCID)

作者： Zhang, Wenli Li, Honglu Li, Huibin Wang, Zhuozheng Beijing Univ Technol Pilot Coll Beijing Beijing Peoples R China Beijing Univ Technol Coll Elect Informat & Control Engn Beijing Peoples R China

ISBN: (纸本)9781467395878

Aiming at the low illumination image, we proposed a method to make images clearer which is based on our forward fog-removed method[7]. This method combines Multi-Scale Retinex(msr) algorithm with wavelet transform algorithm. The improved method firstly use msr algorithm to enhance the whole image, then the wavelet transform algorithm is used to strengthen the details information of image, finally a clearly image which has better overall contrast and more clear details information can be obtained. Through analyzing subjective and objective evaluation of the experimental results, the performance indicators of image which are processed by the proposed method in this paper are higher than those processed by other algorithms.

关键词： low illumination images msr algorithm wavelet transform algorithm subjective evaluation objective evaluation

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Design and implementation of parallelized msr video enhancement based on CUDA

Design and implementation of parallelized MSR video enhancem...

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2013 International Conference on Communication Technology (ICCT 2013)

作者： Zhengning Wang Elisée Kponou Weidong Liu Liping Li School of Electronic Engineering University of Electronic Science and Technology of China Research and Development Center The 2nd Research InstituteCivil Aviation Administration of China

Numerous techniques are available to enhance images and videos, among which Multi-Scale Retinex(msr) is a most effective and popular one. However, the huge computation load limits the algorithm's future application, which emphasizes highly on effectiveness of real-time processing. In this work, we propose an efficient method to speed up the msr for real-time video enhancement via Compute Unified Device Architecture(CUDA). We found through experiments that the difference between the properties of consecutive frames is small, which makes it unnecessary to update the parameters of the algorithm each frame of the video. Thus, we make use of this character and further increase the speed of the algorithm. Results show that our method is able to reduce the achievement time significantly and get a maximum speedup ratio near 200×.

关键词： msr algorithm real time video enhancement retinex theory

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