Abstract
Here color image is compressed using vector quantization (VQ) on transformed coefficients. First, image is compressed using hybrid wavelet transform to achieve high compression ratio. Error image is obtained after transform based compression. Then VQ is applied on compressed image to increase compression ratio. Codebook of size 32 is generated. As codebook size is small, it gives higher compression ratio. Distortion at such high compression ratio is calculated. Further, to reduce distortion, VQ is applied on error image too. This compressed error image is added to VQ compressed image and reconstructed image is generated. It reduces distortion by nearly 10% as compared to previous case. Proposed algorithm is tested on images of different classes. It gives much better compression at the cost of computational complexity.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
