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      저자 : Wang KaiSheng (검색결과 3 건)
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      • Anti-Distortion Image Contrast Enhancement Algorithm Based on Fuzzy Statistical Analysis of the Histogram Equalization

        Yao Nan,Wang KaiSheng,Cai Yue 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.4

        In order to solve such problems as excessive enhancement and chessboard effect, difficult image brightness keeping and distortion in the image enhancement algorithm based on histogram equalization, an anti-distortion image contrast enhancement algorithm based on fuzzy statistics and sub-histogram equalization is proposed in this article. Specifically, the fuzzy set theory is introduced therein to convert the image into fuzzy matrix; then, by virtue of the membership function and the probability of the image gradation, the weighting function is embedded to construct the weighted fuzzy histogram calculation model; then, the mid-value of the initial image is adopted to divide the fuzzy histogram into two sub-histograms, and the corresponding cumulative density functions are defined, and the transformation models thereof are also constructed; then, the inverse transformation function is established to realize defuzzification and output the enhanced image. The experimental data show: compared with the present image enhancement algorithm based on histogram equalization, this algorithm can significantly eliminate excessive enhancement and noise amplification, thus to not only have better visual enhancement quality and anti-distortion performance, but also have maximum AIC (Average Information Contents) value and minimum NIQE (Natural Image Quality Evaluator) value.

      • Application of Intelligent Video Monitoring System in Electric Power Construction

        Yao Nan,Wang KaiSheng,Cai Yue 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.4

        Since the image based intelligent video monitoring system has limited viewing angle, the blind monitoring zone will easily appear when the target is not in the field range of the camera. In order to solve the above problem, an intelligent video monitoring system with auditory function is proposed in this article on the basis of the advantages of sound localization. Firstly, the linear microphone array is acquired and the time delay estimation technology is adopted for sound localization; secondly, the camera is driven to turn to the sound source position to acquire video information; finally, the image detection program is adopted to locate and track the target in a real-time manner, and meanwhile the system feasibility is verified through the simulation experiment. The result shows that the system has good localization and tracking accuracy.

      • Image Denoising Algorithm Based on Non Related Dictionary Learning

        Yao Nan,Wang KaiSheng,Cai Yue 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.3

        In allusion to the partial texture information loss during image deniosing process, an image denoising algorithm based on non related dictionary learning is proposed in this article. In this algorithm, the noise image is firstly divided into mutually overlapped image blocks, and a certain quantity of these image blocks are randomly selected for subsequent dictionary learning; then, non related dictionary learning technology is adopted to obtain the redundant dictionary with relatively strong irrelevance; finally, the sparse encoding algorithm is adopted to obtain the sparse representation coefficient of each image block in the redundant dictionary, and such sparse representation coefficients are used to recover the original image. The experiment result shows: since the redundant dictionary obtained through non related dictionary learning technology can strongly represent the image texture information, PSNR (Peak Signal to Noise Ratio) of the algorithm proposed in this article is superior to that of the existing advanced algorithm, and the algorithm can well keep the image detail and texture information, thus to improve visual effect.

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