Lossless Image Coding Using Conditional Entropy Constrained Vector Quantization
نویسندگان
چکیده
منابع مشابه
Entropy-constrained gradient-match vector quantization for image coding
Side-match VQ(SMVQ) is a well-known class of FSVQ used for low-bit rate image/video coding. It exploits the spatial correlation between the neighboring blocks to select several codewords that are very close to the encoding block from the master codebook. But if the block boundary is in the region edge arca. the spatial correlations are not high and the SMVQ can’t sclcct proper codewords to enco...
متن کاملLossless Index Coding for Image Vector Quantization Using Huffman Codes
Image vector quantization (VQ) has many current and future envisioned applications, such as digital image and signal compression, watermarking, data hiding, speaker identification. The idea of lossless index coding is to enhance the performance of image VQ by further encoding the index map of the VQ without introducing extra distortion. A novel lossless index coding scheme, called Index Associa...
متن کاملImage vector quantization using geometric transform and lossless index coding
We propose an efficient image-coding scheme based on vector quantization (VQ). Typically, image qualities of the compressed images by using VQ are restricted by the codebook used. To provide better image qualities of the compressed images while keeping low bit rates, encoding the geometric transformed image block is associated with VQ. To cut down the bit rates, the index table is further proce...
متن کاملEntropy-constrained Vector Quantization
| Entropy-constrained vector quantization (ECVQ) 3] offers substantially improved image quality over vector quan-tization (VQ) at the cost of additional encoding complexity. We extend results in the literature for fast nearest neighbor search of VQ to ECVQ. We use a new, easily computed distance that successfully eliminates most codewords from consideration.
متن کاملEntropy-constrained vector quantization
Akfmct-An iterative descent algorithm based on a Lagrangian formulation is introduced for designing vector quantizers having minimum distortion subject to an entropy constraint. These entropy-constrained vector quantizers (ECVQ’s) can be used in tandem with variable rate noiseless coding systems to provide locally optimal variable rate block source coding with respect to a fidelity criterion. E...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Information Technology Journal
سال: 2006
ISSN: 1812-5638
DOI: 10.3923/itj.2006.1136.1139