The invention proposes a method of determining an index of a code vector (VC k ) belonging to a predetermined lattice, characterised in that it includes the steps of: determining (E 47 ) a leader vector (Y, VL k ) for the code vector (VC k ), seeking (E 50 , E 51 ) a ...
Patel, "Image Compression Using DWT and Vector Quantization", International Journal of Innovative Research in Computer and Communication Engineering, Vol. 1, Issue 3, May 2013.Tejas S. Patel, Ravindra Modi, Keyur J. Patel, "Image Compression Using DWT and Vector Quantization", International ...
Widely Used in Lossy Compression Represent certain image components with fewer bits (compression) With unavoidable distortions (lossy) Design: Find the best tradeoff between maximal compression <---> minimal distortion Scalar quantization (标量量化) A mapping of an input value x into a finite number...
In the present work, an image is decomposed into image blocks. In this scheme a low bit rate still image compression is performed by compressing the indices of vector quantization and residual codebook is generated by using Modified Fuzzy Possibilistic C-Means with Repulsion and Weighted Mahalanobis...
Image-compression algorithms based on vector quantization (VQ) techniques have been researched for years. Recently, such algorithms have been implemented in hardware by several graphics chip vendors. Unlike DXTn, VQ decompression is as easy to do in software as it is in hardware, and might be ju...
In this paper, image compression using hybrid vector quantization scheme such as Multistage Vector Quantization (MSVQ) and Pyramid Vector Quantization (PVQ... S Esakkirajan,T Veerakumar,VS Murugan,... - 《International Journal of Signal Processing》 被引量: 9发表: 2008年 Image Compression usin...
Vector quantization is one approach to image compression, the coding of an image so as to preserve the maximum possible quality subject to the available storage or communication capacity. In its most general form, vector quantization includes most algorithms for data compression as structured special ...
在实验中,我们证明了所提出的压缩可以代替乘积量化或与乘积量化一起使用。与乘积量化及其优化版本相比,所提出的压缩方法导致较低的编码近似误差,在视觉描述符的数据集中的近似最近邻搜索的较高准确度,以及较低的图像分类误差,无论何时在压缩上学习或应用分类器向量。
[4] Johannes Ballé, Valero Laparra, and Eero P Simoncelli. End-to-end optimized image compression. arXiv preprint arXiv:1611.01704, 2016. [5] Yoojin Choi, Mostafa El-Khamy, and Jungwon Lee. Towards the limit of network quantization. arXiv preprint arXiv:1612.01543, 2016. ...
Vector quantization (VQ) is an important technique in digital image compression. To improve its performance, we would like to speed up the design process a... RY Li,J Kim,N Al-Shamakhi - 《Image & Vision Computing》 被引量: 88发表: 2002年 Medical ultrasound image compression using contextu...