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Performance Analysis and Optimization of Linear Restoration in Spatial Domain
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 61 - Number 10 |
| Year of Publication: 2013 |
| Authors: Anil L. Wanare, Pratik D. Shah, Dilip D. Shah |
10.5120/9961-4608
|
Anil L. Wanare, Pratik D. Shah, Dilip D. Shah . Performance Analysis and Optimization of Linear Restoration in Spatial Domain. International Journal of Computer Applications. 61, 10 ( January 2013), 1-5. DOI=10.5120/9961-4608
Abstract
This paper is concerned with critical performance analysis of spatial linear restoration techniques for still images from various fields (Medical, Natural and Arial images). The performances of the linear restoration techniques are provided with possible combination of various additive noises and images from diversified fields. Efficiency of linear restoration techniques according to difference distortion and correlation distortion metrics is computed. Tests performed on monochrome images, with various synthetic and real-life degradations, without and with noise, in single frame scenarios, showed good results, both in subjective terms and in terms of the increase of signal to noise ratio (ISNR) measure. The comparison of the present approach with previous individual methods in terms of mean square error, peak signal-to-noise ratio, and normalized absolute error is also provided. In comparisons with other state of art methods, our approach yields better to optimization, and shows to be applicable to a much wider range of noises. We discuss how experimental results are useful to guide to select the effective combination.
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