Optimized Coefficients of Interpolation Filter To Adapt Statistical Property of Each Image

Abstract

Spatial transform has assumed an essential part in most picture and video coding routines. Wavelet change has numerous points of interest, for example, multidetermination representation, great vitality compaction and de-correlation. We propose another weighted versatile lifting (WAL)- based wavelet change that is intended to take care of the issues existing in the past versatile directional lifting (ADL) approach. The proposed methodology utilizes the weighted capacity to ensure that the prediction and update stages are predictable, the directional addition to enhance the introduction property of added image, and adaptive interpolation filter to adjust to statistical property of each image.

Authors and Affiliations

B Durga Prasad| Dept. of CSE, Srinivasa Institute of Engineering & Tech., Cheyyeru, Mummidivaram, E G Dt AP, India, M Rama Krishna| Dept. of CSE, Srinivasa Institute of Engineering & Tech., Cheyyeru, Mummidivaram, E G Dt AP, India

Keywords

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  • EP ID EP16675
  • DOI -
  • Views 301
  • Downloads 10

How To Cite

B Durga Prasad, M Rama Krishna (2015). Optimized Coefficients of Interpolation Filter To Adapt Statistical Property of Each Image. International Journal of Science Engineering and Advance Technology, 3(12), 1204-1206. https://www.europub.co.uk/articles/-A-16675