A Super Resolution Algorithm Based on Iterative Edge-directional Predictions

論文翻譯標題: 基於邊緣方向預測之迭代超解析度演算法
  • 吳 怡嫻

學生論文: Master's Thesis

摘要

This thesis proposes an image super resolution algorithm based on iterative edge-directional predictions The algorithm consists of two major components The first one is an edge-dominate prediction method which applies the gradient between each pair of pixels to obtain the edge areas of the original image The other is an adaptive image enhancement method to compensate the detailed information which is lost in the original image A high-pass filter and an adaptive Gaussian noise are used to analyze and to enhance the texture in the high resolution image PSNR and SSIM criteria are both adopted for the fair evaluation of the performance Experimental results shows that the proposed algorithm achieves 28 564 dB in the average PSNR and 0 9176 in the average SSIM with the lowest computational complexity compared with existing methods
獎項日期2014 八月 15
原文English
監督員Bin-Da Liu (Supervisor)

引用此

A Super Resolution Algorithm Based on Iterative Edge-directional Predictions
怡嫻, 吳. (Author). 2014 八月 15

學生論文: Master's Thesis