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Performance Comparison of Various Image Denoising Filters Under Spatial Domain
| Content Provider | CiteSeerX |
|---|---|
| Author | Singh, Inderpreet Neeru, Nirvair |
| Abstract | Image denoising is very important during enhancement of image. Original Image is generally corrupted with various types of noise. The noise present in the images may appear as additive or multiplicative components. The most challenging problem is removing that noise from an Image while preserving its details. Several noise removal techniques have been developed so far each having its own advantages and disadvantages. The focus of this paper is to study various spatial filters and to compare their performance in removing different types of noise. Here quantitative measure of comparison is provided by the Peak Signal to Noise Ratio (PSNR) parameter. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Various Image Performance Comparison Spatial Domain Challenging Problem Multiplicative Component Various Spatial Filter Peak Signal Noise Present Image Denoising Original Image Noise Ratio Several Noise Removal Technique Various Type Quantitative Measure |
| Content Type | Text |
| Resource Type | Article |