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《China Sciencepaper》 2017-14
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POCS algorithm based on gradient interpolation and variable threshold

HE Jing;HAO Xiaoli;L Jinlai;College of Computer Science and Technology,Taiyuan University of Technology;  
The traditional projection onto convex sets(POCS)algorithm can only images with low contrast,low signal to noise ratio,and edge blurring.In order to solve the above problems,an improved POCS super-resolution reconstruction algorithm based on visual mechanism is proposed,which introduces the data consistency constraint of variable correction threshold to highlight the target edge and filter out background noise.The interpolation algorithm of the traditional POCS algorithm is also improved,and the initial estimation of the image is carried out by using the gradient interpolation algorithm.The experimental results show that the improved POCS algorithm can obtain high quality image contrast,and its reconstruction efficiency,structural similarity index and peak signal to noise ratio are also improved.
【Fund】: 山西省科技攻关项目(20130321007-02)
【CateGory Index】: TP391.41
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