Image Restoration Based on Hierarchical Data Structures
This paper investigates the problem of image restructuring, when an image is corrupted by pepper-and-salt noise, and proposes a new restructuring algorithm based on hierarchical 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 images. Experimental results indicate that the new algorithm proposed by this paper is superior.
Yanhua Ma Chuanjun Liu
College of Information Science and Technology Qingdao University of Science and Technology 69,Songli Hisense Mobil Communications Technology Corporation 11, Jiangxi Street Qingdao, Shandong Province, C
国际会议
南宁
英文
2007-07-20（万方平台首次上网日期，不代表论文的发表时间）