H. Liu, "A competitive continuous Hopfield neural network for vector quantization in image compression," Engineering Application of Artificial Intelligence, vol. 12, pp. 111-118, 1999.Lin J S,Liu S H.A competit
vector quantizationmultiresolution decompositionsimage compressionimage codingvisual systemsubband codingnonlinear optimizationmultiplicative visual modelAn image compression scheme is introduced which involves a multiresolution decomposition derived from the wavelet transform. The use of this transformation in image ...
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 ...
Vector quantization (VQ) is a critical step in representing signals in digital form for computer processing. It has various uses in signal and image compression and in classification. If the signal samples are quantized separately, the operation is called "scalar quantization." Consequently, if the...
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 ...
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...
Vector Quantization Quantization(量化) Definition: a process of representing a large–possibly infinite – set of values with a muchsmallerset. Widely Used in Lossy Compression Represent certain image components with fewer bits (compression) With unavoidable distortions (lossy)...
We present a novel image compression technique using a classified vector Quantizer and singular value decomposition for the efficient representation of still images. The proposed method is called hybrid classified vector quantization. It involves a simple but efficient classifier-based gradient method in ...
Predictive vector quantizationThis paper presents a new SAR raw data compression algorithm named Normalized Adaptive Predictive Vector Quantization (NAPVQ). The normalized SAR raw data are firstly processed with vector linear predictor, and then the error vectors are compressed with vector quantizer. ...
Since c is the most effective, compression-wise, a prediction scheme was implemented to reduce the number of bits allocated. Show abstract Evolutionary fuzzy particle swarm optimization vector quantization learning scheme in image compression 2007, Expert Systems with Applications Show abstract Speaker ...