A Comparative Study of Classical and Fuzzy Filters for Impulse Noise
Denoising an Image using FIDRM
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In digital Image Processing, removal of noise is a highly demanded area of research. Impulsive noise is common in images which arise at the time of image acquisition and or transmission of images. This book focuses on the removal of the impulse noise with the preservation of edge sharpness and image details which is considered as the one of the most difficult tasks in image processing. Material is timely, highly readable, and illustrated with numerous examples of practical significance. Simulations and comparisons are done with competent schemes. The book is completely self-contained.Few Featu...
In digital Image Processing, removal of noise is a highly demanded area of research. Impulsive noise is common in images which arise at the time of image acquisition and or transmission of images. This book focuses on the removal of the impulse noise with the preservation of edge sharpness and image details which is considered as the one of the most difficult tasks in image processing. Material is timely, highly readable, and illustrated with numerous examples of practical significance. Simulations and comparisons are done with competent schemes. The book is completely self-contained.Few Features Numerous examples with processed images of higher resolution. A reorganization that allows the reader to get to the material on actual image processing much sooner than before. A more intuitive development of traditional topics such as image restoration. Updated bibliography.
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