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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 5, ISSUE 9, SEPTEMBER 2016

Pixel Based Quality Improvement of Black & White Noisy Images

Dr. Raghuvinder, Kavita Rani

DOI: 10.17148/IJARCCE.2016.5909

Abstract: Resolution is designated as significant holding for images. Resolution is an underlined expression of any image. Gratifying quality images are required almost in every field. For this we propose new modified algorithm having the extension in scaling and the algorithm is applied on image mingled with text for producing the pleasing quality of image. This research explains resolution method for enhancing digital gray images. The proposed enhancement technique is based on the interpolation of the high frequency sub-bands.



Keywords: DWT, SWT, IDWT, WZP, CWT

How to Cite:

[1] Dr. Raghuvinder, Kavita Rani, “Pixel Based Quality Improvement of Black & White Noisy Images,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.5909