Abstract
An adaptive DCT (discrete cosine transform)-based image coding scheme is developed in which a combination of a perceptually motivated image model, entropy-constrained trellis coded quantization (ECTCQ), and perceptual error weighting is used to obtain good subjective performance at low bit rates. The model is used to decompose the image into strong edge, slow-intensity variations and texture components. The perceptually important strong edges are encoded essentially losslessly. The remaining components are encoded using an adaptive DCT in which the transform coefficients are quantized by ECTCQ. The contrast sensitivity of the human visual system is used for perceptual weighting of the transform coefficients. Objective and subjective results suggest noticeable improvement over JPEG (Joint Photographic Experts Group). >
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.
