Bridging the gap between the video compression and communication communities, this
unique volume provides an all-encompassing treatment of wireless video communications …

Detecting and classifying edge components in images find a wide range of applications from
perceptually improved coding schemes to content-based searches. A fast and systematic …

Typically data acquired through imaging techniques such as functional magnetic resonance
imaging (fMRI), structural MRI (sMRI), and electroencephalography (EEG) are analyzed …

An edge preserving image compression algorithm based on an unsupervised competitive
neural network is proposed. The proposed neural network, the called weighted centroid …

An image-coding technique, in which the discrete cosine transform (DCT) is combined with a
classified vector quantization (CVQ), is presented. A DCT-transformed input block is …

This correspondence extends and modifies classified vector quantization (CVQ) to solve the
problem of inverse halftoning. The proposed process consists of two phases: the encoding …

In this paper, a vector quantization algorithm is proposed for image compression. The
proposed algorithm composed of three phases, initialization, iterative and finalization. The …

The Karhunen-Loève Transform (KLT) is the optimal transform for a block of signal in terms
of decorrelation and energy compaction performances. However, it is not used in practice …

Vector quantization (VQ) and block truncation coding (BTC) are successful image
compression techniques. However, a reproduced image using VQ or BTC suffers from edge …

高分辨遥感图像中线状特征等的自动识别与提取是进行遥感图像分析与理解等高层次图像工程
的前提和基础, 但由于高分辨率遥感图像中细节信息异常丰富, 这给特征的提取带来很大干扰 …