期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2011
卷号：1
期号：2-1
出版社：Seventh Sense Research Group
摘要：—IMAGE restora tion is an important issue in high level image processing. Images are often degraded during the data acquisition process. The degradation may involve blurring, information loss due to sampling, quantization effects, and various sources of noise. The purpos e of image restoration is to estimate the original image from the degraded data. It is widely used in various fields of applications, such as medical imaging, astronomical imaging, remote sensing, microscopy imaging, photography deblurring, and forensic sc ience, etc. Often the benefits of improving image quality to the maximum possible extent for outweigh the cost and complexity of the restoration algorithms involved. In this paper we are comparing various image restoration techniques like Rich ardson Lucy a lgorithm, Wie ner filter, Neural Network approach, on the basis of PSNR (Peak Signal to Noise Ratio).
关键词：Peak Signal to noise ratio; Image Restoration; Degradation model; Neural Network approach ; Richardson - Lucy algorithm; Wie ner Filter
