Shape VQ-based adaptive predictive lossless image coder
نویسندگان
چکیده
A new shape adaptive predictive lossless image coder is proposed. Three classes of block shapes are delineated with associated “optimum” predctors. Each image is partitioned into sub-blocks that are classified into one of the three classes using vector quantisation. The encoder then employs the predictor corresponding to the class of the block under consideration. Performance evaluation of the proposed coder in comparison with four other lossless coders includmg lossless JPEG indicates its superiority.
منابع مشابه
Shape-VQ-based lossless hybrid ADPCM/DCT coder
The discrete cosine transform (DCT) has been shown as an optimum encoder for sharp edges in an image (Andrew and Ogunbona, 1997). A conventional lossless coder employing differential pulse code modulation (DPCM) suffers from significant deficiencies in regions of discontinuity, because the simple model cannot capture the edge information. This problem can be partially solved by partitioning the...
متن کاملHybrid predictive/VQ lossless image coding
A multiplicative autoregressive model is used in a lossless predictive image coding scheme. The use of vector quantisation (VQ) for compression of the model coefficients leads to an improved compression ratio. Both image adaptive and universal codebooks are considered. A comparative analysis of the new coder is presented through simulation results.
متن کاملA Nonlinear VQ-Based Predictive Lossless Image Coder
A new lossless predictive image coder is introduced and tested. The predictions are made with a nonlinear, vector quantizer based, adaptive predictor. The prediction errors are losslessly compressed with an arithmetic coder that presumes they are Laplacian distributed with variances that are estimated during the prediction process, as in the approach of Howard and Vitter. I . Introduction Predi...
متن کاملA Vq-style Adaptive Entropy Coder and Its Application to Lossless Image Coding
The VQ-style clustering algorithm proposed in this paper provides an optimal method for addressing the non-stationarity of a source with respect to entropy coding. This algorithm which is named Minimum-Entropy Clustering (MEC), clusters a set of vectors (where each vector consists of a fixed number of contiguous samples from a discrete source) using a minimum entropy criterion. In a manner simi...
متن کاملQuantization Context Two - row Double Buffer Error Modeling Gradient - adjusted Prediction Probabilities Estimation Conditional Histogram Coding
1 Summary We propose a context-based, adaptive, predictive coding system for lossless/nearly-lossless compression of continuous-tone images. The system provides better compression than other lossless image coders in the literature. This is accomplished with low time and space complexities. The high coding eeciency of the proposed image compression system is due to the use of a novel, nonlinear,...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2017