Implementation and Analysis of Image Restoration Techniques
 | International Journal of Computer Trends and Technology (IJCTT) |  |
| © May to June Issue 2011 by IJCTT Journal | ||
| Volume-1 Issue-2 | ||
| Year of Publication : 2011 | ||
| Authors : Charu Khare, Kapil Kumar Nagwanshi. |
Charu Khare, Kapil Kumar Nagwanshi. "Implementation and Analysis of Image Restoration Techniques"International Journal of Computer Trends and Technology (IJCTT),V1(2):195-200 May to June Issue 2011 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract—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).
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Keywords— Peak Signal to noise ratio, Image Restoration, Degradation model, Neural Network approach , Richardson - Lucy algorithm, Wie ner Filter.