Abstract
Quantization is the core part of all lossy source coding schemes. We present a design scheme for statistical optimization of a set of one-bit (i.e., two-level) quantizers, given the signal statistics of an arbitrary signal, for example a prediction error signal. The set of quantizers can then be used for block-adaptive quantization of the signal. The quantizer design criterion combines ideas from block truncation coding (BTC) and vector quantization (VQ). As an example application of our design scheme we apply a set of two-level quantizers to adaptive differential pulse code modulation of color video where the quantizers are switched adaptively on a block-by-block basis. Coding results show that this scheme has a better performance than other low-complexity video coding schemes. At 2 bit/pel, it performs more than 2 dB better in peak signal-to-noise ratio than DPCM (differential pulse code modulation) and up to 3.5 dB better than BTC.
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.
