International Conference and workshop on Advanced Computing 2013 |
Foundation of Computer Science USA |
ICWAC - Number 4 |
July 2013 |
Authors: Harsha D. Zope, Jasvinder Pal Singh |
2dcba1cc-b604-409d-a378-a639cdc25277 |
Harsha D. Zope, Jasvinder Pal Singh . Effect of Meta-Heuristics Swarm based Algorithm on DCT and DWT for Best Compressed Image. International Conference and workshop on Advanced Computing 2013. ICWAC, 4 (July 2013), 0-0.
The objective of image compression is to reduce irrelevance and redundancy of the image data in order to to store or transmit data in efficient form. DCT and DWT are used as the compression techniques. In discrete wavelet transform, each level is calculated by passing only approximation coefficients through low and high pass quadrature mirror filters. The discrete cosine transform (DCT) helps to separate the image into parts (or spectral sub-bands) of differing importance (with respect to the image's visual quality)In this paper , a meta-heuristic swarm based algorithm (ABC) is used to improve the quality of compressed image. Relative data redundancy and many parameters are also studied.