Image Coding Using Vector Quantization Based on Wavelet Transform Fuzzy C-Means and Principle Component Analysis
Image coding requires a small bit rate for high-speed data transmission and a small space for data storage. Simultaneously, the Peak Signal to Noise Ratio (PSNR) has to be maintained. In this paper, the authors proposed a method of image coding design using Wavelet Transform (WT). By applying the WT for defining groups of pixels with the same intensity in spatial domain, the groups of pixels are allocated in a low frequency range. Hence, locations of pixels are the key factor to determine the size of each block and they use wavelet transform to decompose each block into sub-band components, which are represented by 3D vectors.