Abstract
The authors analyze the coding errors due to quantization by explicitly incorporating a mathematical model for a Lloyd-Max quantizer into a quadrature mirror filter (QMF) splitting and reconstruction scheme (P. H. Westerink et al., 1988). This approach explicitly incorporates quantization errors into a QMF system by means of a quantizer model. This makes it possible to discriminate between different types of coding errors, such as the aliasing error. Other errors that can be distinguished are a QMF design error, a signal error, and a random error, which is uncorrelated with the original image. Both a mean-squared error calculation and a subjective judgment of the coding errors show that the aliasing errors can be neglected for filter lengths of 12 taps or more. The signal error determines the sharpness of the reconstructed image, while the random error is most visible in the flat areas.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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.
