A Complete Video Coding Chain Based on Multi-Dimensional Discrete Cosine Transform

The paper deals with a video compression method based on the multi-dimensional discrete cosine transform. In the text, the encoder and decoder architectures including the definitions of all mathematical operations like the forward and inverse 3-D DCT, quantization and thresholding are presented. According to the particular number of currently processed pictures, the new quantization tables and entropy code dictionaries are proposed in the paper. The practical properties of the 3-D DCT coding chain compared with the modern video compression methods (such as H.264 and WebM) and the computing complexity are presented as well. It will be proved the best compress properties could be achieved by complex H.264 codec. On the other hand the computing complexity - especially on the encoding side - is lower for the 3-D DCT method

Algorithms for Fast Computing of the 3D-DCT Transform

The algorithm for video compression based on the Three-Dimensional Discrete Cosine Transform (3D-DCT) is presented. The original algorithm of the 3D-DCT has high time complexity. We propose several enhancements to the original algorithm and make the calculation of the DCT algorithm feasible for future real-time video compression

A Complete Video Coding Chain Based on Multi-Dimensional Discrete Cosine Transform

The paper deals with a video compression method based on the multi-dimensional discrete cosine transform. In the text, the encoder and decoder architectures including the definitions of all mathematical operations like the forward and inverse 3-D DCT, quantization and thresholding are presented. According to the particular number of currently processed pictures, the new quantization tables and entropy code dictionaries are proposed in the paper. The practical properties of the 3-D DCT coding chain compared with the modern video compression methods (such as H.264 and WebM) and the computing complexity are presented as well. It will be proved the best compress properties could be achieved by complex H.264 codec. On the other hand the computing complexity - especially on the encoding side - is lower for the 3-D DCT method

Algorithms for Fast Computing of the 3D-DCT Transform

The algorithm for video compression based on the Three-DimensionalDiscrete Cosine Transform (3D-DCT) is presented. The original algorithmof the 3D-DCT has high time complexity. We propose several enhancementsto the original algorithm and make the calculation of the DCT algorithmfeasible for future real-time video compression

Image Compression Algorithms Optimized for MATLAB

This paper describes implementation of the Discrete Cosine Transform(DCT) algorithm to MATLAB. This approach is used in JPEG or MPEGstandards for instance. The substance of these specifications is toremove the considerable correlation between adjacent picture elements.The objective of this paper is not to improve the DCT algorithm itself, but to re-write it to the preferable version for MATLAB thusallows the enumeration with insignificant delay. The method proposed inthis paper allows image compression calculation almost two hundredtimes faster compared with the DCT definition