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《Computer Simulation》 2016-08
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Study on the Method of Super-Resolution Image Little Feature Enhancement and Simulation

WANG Liang;School of information engineering,Tibet University for nationalities;  
In the paper,we proposed a small feature enhancement method to improve the super resolution image of wavelet transform. First,we fused the method with Daubechies 8 compact support orthogonal wavelet to denoise high resolution image edge information. Then we used the tensor diffusion algorithm to establish an anisotropic tensor diffusion model,and meticulously divided the image information into smooth area,edge,and isolated noise points.According to different classifications,we set the corresponding diffusion tensor of characteristic values,and effectively completed the small feature enhancement of. super resolution images The simulation results show that the edge and detail features of image can be enhanced more effectively.
【Fund】: 基于数字载体预处理的藏文信息秘密共享技术研究(2015ZR-14-20)
【CateGory Index】: TP391.41
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