Abstract
This paper introduces a new class of vector quantizers (VQs), called finite-state residual vector quantizers (FS-RVQs), and discusses their application to image compression. FS-RVQ may be viewed as a combination of residual vector quantization (RVQ) and finite-state VQ (FSVQ). It requires only a fraction of the codebook memory needed for conventional FSVQ and, in addition, has high computational efficiency. A design algorithm that jointly optimizes the RVQ stage codebooks with multipath searching and variable bit rate capability is introduced, and is used to design state codebooks. Simulation results show that FS-RVQ can perform better than VQ with only a fraction of the memory and complexity associated with FSVQ. For a fixed level of complexity, FS-RVQ can also outperform FSVQ.
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 callMore From: Journal of Visual Communication and Image Representation
Disclaimer: 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.
