Lossless image compression via bit-plane separation and multilayer context tree modeling

Multi-layer context tree modeling for lossless compression of gray-scale images

Multi-layer context tree (MCT) modeling has been recently applied for lossless compression of multi-layer map images and showed its efficiency. Though it is not applicable directly to compression of gray-scale images, it could be utilized together with bit-plane separation technique. In this work we evaluated the performance of MCT modeling according to three bit-plane separation methods and co...

Lossless Grayscale Image Coding by Using Higher Order Context Modeling and Bit-Plane Decomposition

Adaptive Context Modeling for Efficient Image and Elevation Data Compression

In this paper, a new wavelet zero tree-based image compression algorithm that is based on exploitation of smart adaptive context models is proposed. The models are derived from wavelet transform properties and are exploited to improve efficiency of arithmetic coding. They are intuitively clear and do not require any preliminary training. To author’s knowledge, the proposed algorithm is comparab...

Embedded to Lossless Image Coding (elic)

In this paper, a novel approach for Embedded to Lossless Image Coding (ELIC) is presented. With embedded to lossless coding, lossy encodings of the image at all lower bit rates are embedded in the lossless bit stream. This algorithm uses wavelet transforms that map integers to integers with embedded coding. The coding is based on bit significance criteria in which coefficients that become signi...

Quantization 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,...