ROTATED BARNES-WALL LATTICE BASED VECTOR QUANTIZER AND ITS APPLICATION IN IMAGE-SEQUENCE CODING

A new scheme is presented to design a rotated Barnes-Wall lattice based vector quantizer(LVQ). The construction method of the LVQ and its fast quantizing algorithm are described at first. Then gain-shape lattice vector quantizer(GSLVQ) with LVQ as shape quantizer is discussed. Finally the GSLVQ is used in image-sequence coding and good experimental results are obtained.     

METHOD OF VECTOR QUANTIZATION CODING USING RECTANGULAR TRANSFORM FOR IMAGE COMPRESSION

First of all a simple and practical rectangular transform is given,and then thevector quantization technique which is rapidly developing recently is introduced.We combinethe rectangular transform with vector quantization technique for image data compression.Thecombination cuts down the dimensions of vector coding.The size of the codebook can reasonablybe reduced.This method can reduce the computation complexity and pick up the vector codingprocess.Experiments using image processing system show that this method is very effective inthe field of image data compression.     

电子封装常用名称及术语汇集

电子封装常用名称及术语汇集下面，按英文字母顺序，汇集并解释了与目前ＬＳＩ（包括ＩＣ）正在采用的主要封装形式相关联的名称术语等。这些名称术语参考并引用了日本国内１２个半导体制造公司，其他国家７个半导体制造公司＊与ＬＳＩ封装相关的资料、日本电子机械工业会...     

An improved side information generation for distributed video coding

This paper presents a side information (SI) scheme for distributed video coding based on multilayer perceptron. The suggested scheme predicts a Wyner–Ziv (WZ) frame from two decoded key frames. The network is trained offline using patterns from different standard video sequences with varied motion characteristics to achieve generalization. The proposed scheme is simulated along with other standard video coding schemes. Performance comparisons have been made with respect to training convergence, rate distortion (RD), peak signal to noise ratio (PSNR), number of requests per SI frame, decoding time requirement, etc. In general, it is observed that the proposed scheme has a superior SI frame generation capability as compared to its competent schemes.     

基于量化编码技术的声音隐藏算法

本文提出了一种基于量化编码技术的语音隐藏算法。该算法可以将一种秘密语音伪装成另一种语音以便于从公网上安全的传输，实验结果表明，该算法具有隐藏数据量大、安全性高、隐藏效果好等优点。且该算法可以用于在语音中隐藏文本、图像等信息数据。     

基于自适应量化矩阵的硬判决量化算法

在视频编码中,视频量化一般分为硬判决量化(HDQ)和软判决量化(SDQ),HDQ与SDQ相比,编码性能虽有所损失,但其编码复杂度低,易于硬件实现的优点依旧是主流编码器所主要采用的量化算法.人眼具有对图像中的高频细节不敏感的特性.因此,基于Bayes最小误判概率约束,离线构建基于视频内容自适应的量化矩阵,在模拟感知SDQ算法机理下,对高频低频分量采用不同的量化步长,提高视频的主观质量和HDQ算法性能.仿真实验表明,相比于传统的HDQ算法,该文算法能达到平均5.048％的码率节省,其中WVGA和WQVGA格式平均达到10.65％的码率节省.相比于感知SDQ算法,平均码率增加仅有1.464％;算法复杂度方面,编码一帧的时间相比于感知SDQ节省了32.956％.     

分布式视频编码中基于量化噪声因素的虚拟相关信道模型

针对现有虚拟信道模型——Laplacian模型不能精确描述其特性,导致系统编码率失真性能不高,深入研究了量化噪声对边信息质量的影响,引入量化噪声因素修正虚拟信道模型,改进了像素域分布式视频编码(PDWZ)系统的帧级虚拟信道估计,并利用原始图像相关信息实现参数的动态调整。实验结果表明,与现有Laplacian模型相比,改进模型能更精确地描述虚拟信道的统计特性,系统的率失真性能得到改善。     

White and narrow band image compressor based on a new color space for capsule endoscopy

In this paper, we present the design of a low power and hardware efficient image compressor integrated circuit for wireless capsule endoscopy application. The proposed compression algorithm supports dual-band imaging, that is, works on both white-band imaging (WBI) and narrow-band imaging (NBI). The scheme uses a novel color-space and simple predictive coding for optimized performance. Based on the nature of the narrow- and white-band endoscopic images and video sequences, several sub-sampling schemes are introduced. The proposed dual-band compressor is designed in such as way that it can easily be interfaced with any commercial low power image sensor that outputs RGB image pixels in a raster scan fashion, eliminating the need of large buffer memory and temporary storage. Both NBI and WBI reconstructed images have been verified by medical doctors for acceptability. Compared to other designs targeted to video capsule endoscopy, the proposed algorithm performs strongly with a compression ratio of 80.4% (for WBI) and 79.2% (for NBI), and a high reconstruction peak-signal-to-noise-ratio (over 43.7 dB for both bands). The results of the fabricated chip are also presented.     

矢量量化在语音波形编码中的应用

矢量量化(VQ)技术是近几年发展起来的一种高效数据压缩技术.本文介绍了VQ技术的发展历史、现状和它的基本原理,较为详细地讨论了基本矢量量化器的实用设计方法——LBG算法,并对原有的LBG算法进行了改进,给出了实验结果.     

基于Windows平台实现视频信号编解码

提出了一种基于Windows95/98平台的视频信号压缩编解码方案，实现了视频信号的接收处理和播放，测试结果表明该方案编程效率大大提高，对视频信号的处理性能稳定可靠，播放图像性能良好。     

Distributed video coding based on lossy syndromes generated in hybrid pixel/transform domain

A recently proposed class of distributed source coding based video coders enables low-complexity compression and robust transmission over unreliable channels. These architectures process the video signal either in the pixel or in the transform domain generating some side information that permits a correct decoding of the coded image from a set of possible correlated sources. The approach proposed in this paper processes the video sequence both in the pixel and in the transform domain exploiting the advantages of both schemes and generating a set of lossy syndromes. The resulting video coding scheme requires a lower computational complexity at the decoder with respect to their transform-domain counterparts (like DISCOVER or PRISM) and provides a high compression gain and an increased robustness against channel losses.     

Deep chroma prediction of Wyner–Ziv frames in distributed video coding of wireless capsule endoscopy video

Compression of captured video frames is crucial for saving the power in wireless capsule endoscopy (WCE). A low complexity encoder is desired to limit the power consumption required for compressing the WCE video. Distributed video coding (DVC) technique is best suitable for designing a low complexity encoder. In this technique, frames captured in RGB colour space are converted into YCbCr colour space. Both Y and CbCr representing luma and chroma components of the Wyner–Ziv (WZ) frames are processed and encoded in existing DVC techniques proposed for WCE video compression. In the WCE video, consecutive frames exhibit more similarity in texture and colour properties. The proposed work uses these properties to present a method for processing and encoding only the luma component of a WZ frame. The chroma components of the WZ frame are predicted by an encoder–decoder based deep chroma prediction model at the decoder by matching luma and texture information of the keyframe and WZ frame. The proposed method reduces the computations required for encoding and transmitting of WZ chroma component. The results show that the proposed DVC with a deep chroma prediction model performs better when compared to motion JPEG and existing DVC systems for WCE at the reduced encoder complexity.     

序号预测矢量量化器及其在图象编码中应用

本文提出一种序号预测矢量量化器的结构，与一般矢量量化器相比，它充分利用了图象极强的二维相关特性，并采用预测的方法去除冗余码字，从而在保证译码图象质量与一般矢量量化器的译码图象质量相同的前提下，压缩比可提高一倍以上。     

CDV-DVC: Transform-domain distributed video coding with multiple channel division

This paper proposes an efficient distributed coding system based on multiple channel division. We develop the hierarchical motion refinement scheme using DC syndrome bits to generate high quality side information (SI) for Wyner–Ziv (WZ) frames. Moreover, we estimate local distortion characteristics of an SI frame and encode the SI frame in three coding modes: skip mode for the reliable channel, WZ mode for the medium channel, and intra mode for the unreliable channel. No bit is transmitted in the skip mode. Syndrome bits in the WZ mode are adaptively allocated based on the local distortion characteristics. The H.264 intra coding is performed in the intra mode to recover severely erroneous blocks. Experimental results show that the proposed algorithm provides significantly better rate-distortion performance than the state-of-the-art DISCOVER codec.     

分布式视频编码中的边信息优化算法*

在分布式视频编码中的运动补偿插值算法通常采用正方形分块方案,然而考虑到视频中物体的运动和复杂的图像纹理结构,仅采用正方形分块不能得到优异的匹配效果.因此在基于小波域的分布式视频编码系统基础上,采用非规则分块方案来提取物体的边缘信息,从而提高运动估计时的匹配精度.实验结果表明,该方案在一定程度上能提高边信息质量.     

一种低编码复杂度可分级的视频编码系统

在可分级视频编码（SVC,scalable video coding）的框架下,利用分布式视频编码（DVC,distributed video coding）技术,设计了一种低编码复杂度的SVC方案。该系统具有空间可分级的特性,各分层中仅用到了传统的帧内编码技术和DVC技术,最大限度的减小了SVC系统的编码复杂度。在该...     

基于感兴趣区域的自适应帧内更新编码算法

针对视频压缩码流对信道差错异常敏感的问题,提出了一种基于感兴趣区域的自适应帧内更新编码算法。该算法利用人眼的视觉感知特性设计感兴趣区域提取模型,根据信道差错累积情况自适应调整帧内更新编码策略,将更少的失真分配给人眼感兴趣区域,提高差错信道下传输视频图像的主客观质量。实验结果表明,与基于端到端失真的帧内更新算法相比,在不同的信道丢包条件下,所提算法可以获得更好的主客观质量,感兴趣区域的峰值信噪比(PSNR)平均提高0.87 dB左右,提高了差错信道下视频通信的鲁棒性。     

A spatially layered hierarchical approach to video coding

Layered techniques offer attractive features for video coding in several applications including high definition TV (HDTV). After describing these in general, we propose an approach in which the layering is performed in the pel domain using a modified version of the conventional spatial pyramid technique. Comparisons are made with the alternative methods of subband coding and layering of DCT coefficients. Results with HDTV pictures were first demonstrated on 3 November 1992.     

A vector quantization based approach for CFA data compression in wireless endoscopy capsule

A novel approach for near-lossless compression of Color Filtering Array （CFA） data in wireless endoscopy capsule is proposed in this paper. The compression method is based on pre-processing and vector quantization. First, the CFA raw data are low pass filtered and rearranged during pre-processing. Then, pairs of pixels are vector quantized into macros of 9 bits by applying block partition and index mapping in succession. These macros are entropy compressed by Joint Photographic Experts Group-Lossless Standard （JPEG-LS） finally. The complex step of codeword searching in Vector Quantization （VQ） is avoided by a predefined partition rule, which is suitable for hardware implementation. By control of the pre-processor and VQ scheme, either high quality compression under unfiltered case or high ratio compression under filtered case can be realized, with the average Peak Signal-to-Noise Ratio （PSNR） more than 43dB and 37dB respectively. Compared with the state-of-the-art method and the previously proposed method, our compression approach outperforms in compression performance as well as in flexibility.