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Cluster Computing

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20-03-2018

Optimized gradient histogram preservation with block wise SURE shrinkage for noise free image restoration

Authors: K. Sakthidasan Sankaran, S. Prabha, P. M. Rubesh Anand

Published in: Cluster Computing | Special Issue 2/2019

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Abstract

The image noise removal and restoration techniques invariably employ the hybrid filter and genetic algorithm approaches for recovery of noise free images. However, the desired level of denoising is not met with these approaches. The usage of adaptive genetic algorithm recovers the quality of the restored image. In order to improve the image denoising performance, an innovative noise removal method named optimized gradient histogram preservation (OGHP) is proposed. Initially, the preprocessing is applied on the noise contaminated image. Subsequently, the preprocessed image is subjected to OGHP noise exclusion procedure and stein’s unbiased risk estimate shrinkage. The resulted noiseless images are passed through the image restoration procedure carried out by employing the proposed adaptive genetic algorithm. The performance evaluation of the proposed method compared with the existing techniques demonstrates the efficiency of the proposed technique in noise elimination and effective restoration of image.

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Title: Optimized gradient histogram preservation with block wise SURE shrinkage for noise free image restoration
Authors: K. Sakthidasan Sankaran
S. Prabha
P. M. Rubesh Anand
Publication date: 20-03-2018
Publisher: Springer US
Published in: Cluster Computing / Issue Special Issue 2/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-018-2001-x

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