Fast vector quantization using a Bat algorithm for image compression

Enhanced Dct Compression Technique Using Vector Quantization and Bat Algorithm

Image processing is a technique to perform operations on an image, with a specific goal to get an enhanced image or to extract some helpful information from it. It is a kind of signal processing in which input is an image and output might be image or characteristics/features associated with that image. These days, image processing is among quickly growing technologies. It forms core research ar...

Vector Quantization using Genetic &Means Algorithm for Image Compression

In Vector Quantization (VQ), minimization of Mean Square Error (MSE) between code book vectors and training vectors is a non-linear problem. Traditional LBG type of algorithms converge to a local minimum, which depends on the initial code book. While most of the efforts in VQ have been directed towards designing efficient search algorithms for code book, little has been done in evolving a proce...

Vector Quantization for Image Compression-Concept Quantization

Fast Vector Quantization Encoding Algorithms for Image Compression

Vector quantization (VQ) is a well-known compression method. In the encoding phase, given a block represented as a vector, searching the closest codeword in the codebook is a time-consuming task. In this paper, two fast encoding algorithms for VQ are proposed. To reduce the search area and accelerate the search process, the first algorithm utilizes three significant features of a vector that ar...

Image Compression Using Hybrid Vector Quantization

In this paper, image compression using hybrid vector quantization scheme such as Multistage Vector Quantization (MSVQ) and Pyramid Vector Quantization (PVQ) are introduced. A combined MSVQ and PVQ are utilized to take advantages provided by both of them. In the wavelet decomposition of the image, most of the information often resides in the lowest frequency subband. MSVQ is applied to significa...