Vector quantization using whale optimization algorithm for digital image compression

Cevat Rahebi

Today, much of the information is storing in images. To transfer information in the form of images, image compression is required. Compressing images reduces the size of images and sends them faster over the network. One of the most methods of image compression is the vector quantization. For vector quantization compression, the codebook is using in cryptography and decryption. The vector quantization compression method typically uses codebooks that are not optimized, which reduces the compression quality of the images. Choosing the optimal codebook makes compression of images with higher qual ...Daha fazlası

Makale 2022 Multimedia Tools And Applications81 ( 14 ) , pp. 2 - 20103 77 Görüntülenme Süresiz Ambargo

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Compression of images with a mathematical approach based on sine and cosine equations and vector quantization (VQ)

Cevat Rahebi

Compressing the image causes less memory to be used to store the images. Compressing images increases the transmission speed of compressed images in the network. Vector quantization (VQ) is one of the image compression methods. The challenge of the vector quantization method for compression is the non-optimization of the codebooks. Codebook optimization increases the quality of compressed images and reduces the volume of compressed images. Various methods of swarm intelligence and meta-heuristics are used to improve the vector quantization algorithm, but using meta-heuristic methods based on m ...Daha fazlası

Makale 2023 Soft Computing27 ( 22 ) , pp. 1 - 17311 71 Görüntülenme