Image Restoration Based on Quadtree Data Structures

Yanhua Ma
2015 International Journal of Signal Processing, Image Processing and Pattern Recognition  
This paper investigates the problem of image restoration when the image is corrupted by Pepper-and-salt noise and proposes a new restoration algorithm based on quadtree data structures. The crucial parts of the algorithm are picking noise and fuzzy estimation, so that unlike some other usual denoising methods, it avoids blurring and averaging edges and non-noise pixels. This paper describes, analyzes and compares several methods and results of removing noise from image. Experimental results
more » ... imental results indicate that the new algorithm proposed by this paper is superior.
doi:10.14257/ijsip.2015.8.8.17 fatcat:zw44aj4qnzhizbhb3gfmfeaxme