Proceedings DCC '95 Data Compression Conference最新文献_第3页

Trade-off and applications of source-controlled channel decoding to still images 静态图像源控信道解码的权衡与应用

Proceedings DCC '95 Data Compression Conference Pub Date : 1995-03-28 DOI: 10.1109/DCC.1995.515553

M. Ruf

{"title":"Trade-off and applications of source-controlled channel decoding to still images","authors":"M. Ruf","doi":"10.1109/DCC.1995.515553","DOIUrl":"https://doi.org/10.1109/DCC.1995.515553","url":null,"abstract":"Summary form only given, as follows. For image transmission, using a new channel decoder, we present improvements in image quality leading to a much more graceful degradation in case of degrading channel conditions. The APRI-SOVA based on the Viterbi algorithm exploits the residual redundancy and correlation in the source bit stream without changing the transmitter. For three different quantizers (applied after a discrete wavelet transform), we show and discuss the trade-off between increasing source coding performance in case of no channel errors (uniform threshold (UT)-generalized Gaussian (GG)-pyramid vector quantizer (PVQ)) and the decreasing improvement using the APRI-SOVA in case of equal error protection (EEP) for noisy channels (PVQ-GG UT). We develop a means to judge the applicability of the APRI-SOVA by considering the remaining correlation of the coded bits (much for the simple UT, little for the complex PVQ), together with a semi-analytical way to calculate the expected improvement. Simulation results for EEP and additive white Gaussian noise show improvements for the LENNA image of up to 1.8 dB (UT), 1.3 dB (GG) in PSNR and no gain for the PVQ, with UT outperforming the other quantizers and thus providing gains of up to 4 dB in PSNR and up to 0.75 dB in E/sub S//N/sub 0/ when choosing the right quantizer. Even greater gains of up to 2.2 dB (UT) in PSNR and 0.5 dB in E/sub S//N/sub 0/ can be encountered when applying combined source and channel coding together with unequal error protection (UEP).","PeriodicalId":107017,"journal":{"name":"Proceedings DCC '95 Data Compression Conference","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128043941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Sliding-window compression for PC software distribution 用于PC软件分发的滑动窗口压缩

Proceedings DCC '95 Data Compression Conference Pub Date : 1995-03-28 DOI: 10.1109/DCC.1995.515578

T. Yu

引用次数: 0

Extending Huffman coding for multilingual text compression 扩展多语言文本压缩的霍夫曼编码

Proceedings DCC '95 Data Compression Conference Pub Date : 1995-03-28 DOI: 10.1109/DCC.1995.515547

Chi-Hung Chi, Chi-Kwun Kan, Kwok-Shing Cheng, L. Wong

引用次数: 2

A high performance block compression algorithm for small systems-software and hardware implementations 一种适用于小型系统的高性能块压缩算法——软件和硬件实现

Proceedings DCC '95 Data Compression Conference Pub Date : 1995-03-28 DOI: 10.1109/DCC.1995.515532

A. de la Cruz Nogueiras, M. Gamez Lau, A. Cerdeira Altuzarra, M. Estrada del Cueto, P. Goga

引用次数: 0

A derailment-free finite-state vector quantizer with optimized state codebooks 具有优化状态码本的无脱轨有限状态矢量量化器

Proceedings DCC '95 Data Compression Conference Pub Date : 1995-03-28 DOI: 10.1109/DCC.1995.515505

X. Ginesta, Seung P. Kim

引用次数: 0

Application of single-pass adaptive VQ to bilevel images 单次自适应VQ在二电平图像中的应用

Proceedings DCC '95 Data Compression Conference Pub Date : 1995-03-28 DOI: 10.1109/DCC.1995.515533

C. Constantinescu, J. Storer

{"title":"Application of single-pass adaptive VQ to bilevel images","authors":"C. Constantinescu, J. Storer","doi":"10.1109/DCC.1995.515533","DOIUrl":"https://doi.org/10.1109/DCC.1995.515533","url":null,"abstract":"Summary form only given; substantially as follows. Constantinescu and Storer (1994) introduced a new single pass adaptive vector quantization algorithm that maintains a constantly changing dictionary of variable sized rectangles by \"learning\" larger rectangles from smaller ones as an image is processed. For lossy compression of gray scale images, this algorithm with no advance information or training typically at least equals and often exceeds the compression obtained by the JPEG standard for a given quality. All of the authors' past work with this approach has been with lossy compression of images where pixels are 8 or more bits. The present authors provide experimental evidence that their generic single pass adaptive VQ algorithm is highly effective for bilevel images. They examine not only lossless compression, but also very high quality lossy compression as well as mixtures of lossless and lossy compression applied to scanned images that contain text, gray scale images, and line drawings. New distortion measures are introduced for high quality lossy compressed bilevel images. The authors have also experimented with an image that is a mixture of text and gray scale imagery.","PeriodicalId":107017,"journal":{"name":"Proceedings DCC '95 Data Compression Conference","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128021526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Finite state methods for compression and manipulation of images 压缩和处理图像的有限状态方法

Proceedings DCC '95 Data Compression Conference Pub Date : 1995-03-28 DOI: 10.1109/DCC.1995.515504

K. Culík, J. Kari

引用次数: 11

Tree-structured vector quantization with significance map for wavelet image coding 基于显著性图的树结构矢量量化小波图像编码

Proceedings DCC '95 Data Compression Conference Pub Date : 1995-03-28 DOI: 10.1109/DCC.1995.515493

P. Cosman, S. M. Perlmutter, K. Perlmutter

引用次数: 23

A speech coding algorithm based on predictive coding 一种基于预测编码的语音编码算法

Proceedings DCC '95 Data Compression Conference Pub Date : 1995-03-28 DOI: 10.1109/DCC.1995.515565

S. Kwong, K.F. Man

{"title":"A speech coding algorithm based on predictive coding","authors":"S. Kwong, K.F. Man","doi":"10.1109/DCC.1995.515565","DOIUrl":"https://doi.org/10.1109/DCC.1995.515565","url":null,"abstract":"Summary form only given. A compression algorithm for high quality speech signal using predictive coding techniques is developed. Code-excited linear predictive coding (CELPC) is one of the key techniques to compress speech signal to a bit-rate around 4.8 Kbps. However, due to the heavy computational requirement in the CELPC and speech signals usually can be divided into two portions: namely the based-band and the high-band frequency range. A hybrid CELPC and voice excited linear predictive coding (VELPC) scheme is developed for speech coding to reduce the complexity of the original CELPC. In the algorithm, a speech signal is firstly divided into two portions, the based-band and high-band respectively, in frequency domain, and then the low portion is coded with CELPC and the high-band portion is coded with VELPC. The test experiments showed this new coder can produce synthesized speech with good quality at a better bit rates than the original CELPC. When using the coding methods for the base-band and the high-band signal, we must decide how to divide the speech signal into two portions. In choosing the bandwidth of the base-band signal, there is a trade-off between the coding quality and the bit rate. In our experiment, the bandwidth of the base-band signal is chosen as one fourth of that of the original speech. Subjective evaluation experiments were conducted to test the performance of the hybrid CELPC and VELPC technique. For speech signal sampled at 8 kHz, a bit rate of 4.0 kbps can be achieved with frame intervals of 23 ms. The experimental results showed that the quality of the synthesized speech using hybrid coding technique at the bit rate of 4.0 kbps was almost the same as that of the CELPC at the bit rate of 4.8 kbps.","PeriodicalId":107017,"journal":{"name":"Proceedings DCC '95 Data Compression Conference","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128765777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Generalized Lempel-Ziv parsing scheme and its preliminary analysis of the average profile 广义Lempel-Ziv解析方案及其对平均剖面的初步分析

Proceedings DCC '95 Data Compression Conference Pub Date : 1995-03-28 DOI: 10.1109/DCC.1995.515516

G. Louchard, W. Szpankowski

引用次数: 7