Optimization of Features for Image Enhancement Using Local and Global Features
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Research Paper | Electronics & Communication Engineering | India | Volume 6 Issue 7, July 2017

Optimization of Features for Image Enhancement Using Local and Global Features

Amit Tiwari, Akhilesh Upadhyay

Image enhancement is used to improve the digital quality of image. It is used to improve the poor quality of image that is too used to improve bad quality of picture into good picture or image. Contrast enhancement is acquiring clear image through brightness intensity value redistribution. For the enhancement of image used feature optimization technique. The feature optimization technique used particle of swarm optimization for the selection of local and global feature of image. The optimized feature is distributing overall image and the quality of image enhanced. The experimental results show the mean with the traditional enhancement methods, the proposed threshold-based enhancement digital image enhancement algorithm for mixed digital image enhancement is relatively clear, especially in the more damage pixel, more complex cases, can show its good performance. - LGE, PSO, BH, CH, SNR.

Keywords: LGE, PSO, BH, CH, SNR

Edition: Volume 6 Issue 7, July 2017

Pages: 1250 - 1253

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How to Cite this Article?

Amit Tiwari, Akhilesh Upadhyay, "Optimization of Features for Image Enhancement Using Local and Global Features", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20175594, Volume 6 Issue 7, July 2017, 1250 - 1253

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