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Published May 25, 2022 | Version v1
Journal article Open

MODIFIED ADAPTIVE BILATERAL FILTER FOR IMAGE CONTRAST IMPROVEMENT

Description

This paper proposes a two-phase theme for removing noise and improves the resolution improvement
victimization Adaptive bilateral filter. Within the initial part, to get rid of total variant regularization is
employed to spot pixels that square measure probably to be contaminated by noise. Within the second
part, the image is rebuilt employing a specialized technique that applies solely to those chosen component
candidates for improvement. The filter may be applied iteratively to effectively scale back significant
noise. In terms of edge preservation and noise suppression, our rebuilt images show a big improvement
compared to those rebuilt by victimization simply nonlinear filters or regularization strategies solely. It’s
additionally called multiple-look process. Our theme will take away background level as high as
attainable and provides high resolution output compared to alternative strategies.

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