Vector Isolated Minimum Distance Filtering for Image De-Noising in Digital Color Images
Praveen Choppala1, James Stephen Meka2, Prasad Reddy PVGD3
1Praveen Choppala*, Associate Professor, Department of ECE, WISTM, Visakhapatnam, India.
2James Stephen Meka, Professor, Department of CSE, WISTM, Visakhapatnam, India.
3Prasad Reddy PVGD, Sr. Professor, Department of CS & SE, Andhra University, Visakhapatnam, India.
Manuscript received on November 15, 2019. | Revised Manuscript received on November 23, 2019. | Manuscript published on November 30, 2019. | PP: 2401-2405 | Volume-8 Issue-4, November 2019. | Retrieval Number: D7174118419/2019©BEIESP | DOI: 10.35940/ijrte.D7174.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Image de-noising forms a crucial component of digital image processing. The state-of-the-art vector median filtering based image de-noising approaches like the median filtering, the vector median filtering and the basic vector directional filtering and their extensions process the vector pixels jointly in the red, green and blue components. Consequently any smoothing applied therein is leveraged on all the color components equally. In this paper we propose that processing the vectors in isolation, that is, each color component taken separately, and then smoothed by minimising the aggregate distance between the pixels in each color component will lead to more efficient de-noising of noisy images. We demonstrate the superiority of the proposed method compared against vector filtering approaches using several images and test measures.
Keywords: Image Processing, Image de-noising, Vector Median Filtering, Isolated Vector Minimum Distance Filtering, Impulse Noise.
Scope of the Article: Image Processing and Pattern Recognition.