{"title":"SPIHT编码彩色图像的误差复原技术","authors":"Mohd Ayyub Khan, E. Khan","doi":"10.1109/MSPCT.2009.5164219","DOIUrl":null,"url":null,"abstract":"The Set Partitioning in Hierarchical Trees (SPIHT) based color image coder, commonly referred as Color SPIHT (CSPIHT) are developed to quantize and encode wavelet coefficients and have excellent rate distortion characteristic in the noise free environments. However in presence of noise they are extremely sensitive to the bit errors. It was observed that bits have different degree of vulnerability of errors. The error in some of the bits (critical bits) causes the severe degradation while errors in other bits (non-critical bits) have negligible effect in the reconstructed images. In this paper, we propose an unequal error protection (UEP) scheme, in which within each bits plane, the bits are reorganized according to their sensitivity of errors and then critical bits are protected unequally using Rate Compatible Puncturing Convolutional (RCPC) codes. The protection is reduced for higher bit-planes, by changing the puncturing rate. The simulation results show an improvement of 5–15 dB in the quality of reproduced images, as compared to the equal error protection (EEP) and unprotected CSPIHT bit-stream.","PeriodicalId":179541,"journal":{"name":"2009 International Multimedia, Signal Processing and Communication Technologies","volume":"272 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Error resilient technique for SPIHT coded color images\",\"authors\":\"Mohd Ayyub Khan, E. Khan\",\"doi\":\"10.1109/MSPCT.2009.5164219\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Set Partitioning in Hierarchical Trees (SPIHT) based color image coder, commonly referred as Color SPIHT (CSPIHT) are developed to quantize and encode wavelet coefficients and have excellent rate distortion characteristic in the noise free environments. However in presence of noise they are extremely sensitive to the bit errors. It was observed that bits have different degree of vulnerability of errors. The error in some of the bits (critical bits) causes the severe degradation while errors in other bits (non-critical bits) have negligible effect in the reconstructed images. In this paper, we propose an unequal error protection (UEP) scheme, in which within each bits plane, the bits are reorganized according to their sensitivity of errors and then critical bits are protected unequally using Rate Compatible Puncturing Convolutional (RCPC) codes. The protection is reduced for higher bit-planes, by changing the puncturing rate. The simulation results show an improvement of 5–15 dB in the quality of reproduced images, as compared to the equal error protection (EEP) and unprotected CSPIHT bit-stream.\",\"PeriodicalId\":179541,\"journal\":{\"name\":\"2009 International Multimedia, Signal Processing and Communication Technologies\",\"volume\":\"272 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-03-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Multimedia, Signal Processing and Communication Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MSPCT.2009.5164219\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Multimedia, Signal Processing and Communication Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MSPCT.2009.5164219","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
摘要
基于分层树集分割(Set Partitioning in Hierarchical Trees,简称spieht)的彩色图像编码器,通常称为CSPIHT (color SPIHT,简称CSPIHT),用于对小波系数进行量化编码,在无噪声环境下具有良好的率失真特性。然而,在噪声存在的情况下,它们对误码极为敏感。结果表明,比特具有不同程度的易出错性。某些比特(关键比特)的误差会导致严重的退化,而其他比特(非关键比特)的误差对重构图像的影响可以忽略不计。本文提出了一种不等错保护(UEP)方案,该方案在每个比特平面内,根据比特对错误的敏感性对比特进行重组,然后使用速率兼容刺破卷积(RCPC)码对关键比特进行不等错保护。通过改变穿刺率,对更高位平面的保护降低了。仿真结果表明,与等错误保护(EEP)和不受保护的CSPIHT比特流相比,再现图像的质量提高了5-15 dB。
Error resilient technique for SPIHT coded color images
The Set Partitioning in Hierarchical Trees (SPIHT) based color image coder, commonly referred as Color SPIHT (CSPIHT) are developed to quantize and encode wavelet coefficients and have excellent rate distortion characteristic in the noise free environments. However in presence of noise they are extremely sensitive to the bit errors. It was observed that bits have different degree of vulnerability of errors. The error in some of the bits (critical bits) causes the severe degradation while errors in other bits (non-critical bits) have negligible effect in the reconstructed images. In this paper, we propose an unequal error protection (UEP) scheme, in which within each bits plane, the bits are reorganized according to their sensitivity of errors and then critical bits are protected unequally using Rate Compatible Puncturing Convolutional (RCPC) codes. The protection is reduced for higher bit-planes, by changing the puncturing rate. The simulation results show an improvement of 5–15 dB in the quality of reproduced images, as compared to the equal error protection (EEP) and unprotected CSPIHT bit-stream.