Hybrid Regression Analysis based Technique for Removal of Impulse Noise from Gray-Scale Images
نویسندگان
چکیده
منابع مشابه
Hybrid Regression Analysis based Technique for Removal of Impulse Noise from Gray-Scale Images
Noise is major limiting factor in digital images, due to noise quality of image is degrade. For improving quality of image filtering techniques are used. There are various filtering technique are reported in last few years. In this presented work the impulse noise and their effect in image is measured. In addition of that the recent contributions on the image filters for impulse noise detection...
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Various kinds of images and pictures are required as sources of information for analysis and interpretation. When an image is converted from one form to another such as scanning, transmitting, digitizing, storing etc., degradation occurs to the output image. Hence, the output image needs to be enhanced in order to be better analyzed. Denoising is the one of the pre processing technique in digit...
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A Threshold based fixed 3x3 Non linear filter for the removal of image artifact such as blotches, black band noise, streaks and impulse is proposed. The algorithm detects the corrupted pixel, if the absolute difference between the processed pixel and the unsymmetrical trimmed midpoint is greater than a fixed threshold else termed as non noisy. Under high noise densities the computed median migh...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2014
ISSN: 0975-8887
DOI: 10.5120/18057-8987