A Lossless Joint Image Compression Using Wavelet Decomposition and Hierarchical Tree Encoding

2019 International Conference on Intelligent Computing and Control Systems (ICCS) Pub Date : 2019-05-01 DOI:10.1109/ICCS45141.2019.9065487

Thushara Thulasi, P. Basu

{"title":"A Lossless Joint Image Compression Using Wavelet Decomposition and Hierarchical Tree Encoding","authors":"Thushara Thulasi, P. Basu","doi":"10.1109/ICCS45141.2019.9065487","DOIUrl":null,"url":null,"abstract":"Wavelet decomposition and hierarchical tree encoding can be used to achieve joint lossless image encryption and compression simultaneously. It is done on the basis of BLAKE-2 Hash algorithm, Integer Wavelet Transformation (IWT) and Set Partitioning In Hierarchical Trees (SPIHT) encoding. BLAKE-2 Hashing algorithm is used to generate sensitive keys from the input image and it results different key values for different images. BLAKE algorithm is very sensitive to changes occurred in the input. In IWT, images are decomposed in to various layers and hence are more immune to attacks. One of the most powerful image compression algorithm used to produce an embedded bit stream form that has the best reconstructed images which shows a significant perceptual improvement as well as an increased PSNR is SPIHT. SPIHT encoding never uses a code book and hence there is no burden to send the coded book while transmission. By combining all the three methods we obtained a decrypted image with high security, good lossless compression performance, high PSNR value and a better quality factor.","PeriodicalId":433980,"journal":{"name":"2019 International Conference on Intelligent Computing and Control Systems (ICCS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Intelligent Computing and Control Systems (ICCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCS45141.2019.9065487","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

Abstract

Wavelet decomposition and hierarchical tree encoding can be used to achieve joint lossless image encryption and compression simultaneously. It is done on the basis of BLAKE-2 Hash algorithm, Integer Wavelet Transformation (IWT) and Set Partitioning In Hierarchical Trees (SPIHT) encoding. BLAKE-2 Hashing algorithm is used to generate sensitive keys from the input image and it results different key values for different images. BLAKE algorithm is very sensitive to changes occurred in the input. In IWT, images are decomposed in to various layers and hence are more immune to attacks. One of the most powerful image compression algorithm used to produce an embedded bit stream form that has the best reconstructed images which shows a significant perceptual improvement as well as an increased PSNR is SPIHT. SPIHT encoding never uses a code book and hence there is no burden to send the coded book while transmission. By combining all the three methods we obtained a decrypted image with high security, good lossless compression performance, high PSNR value and a better quality factor.

查看原文本刊更多论文

基于小波分解和层次树编码的无损联合图像压缩

小波分解和分层树编码可以同时实现图像的联合无损加密和压缩。该算法是在BLAKE-2哈希算法、整数小波变换(IWT)和分层树集分割(SPIHT)编码的基础上实现的。使用BLAKE-2哈希算法从输入图像中生成敏感密钥，不同的图像得到不同的密钥值。BLAKE算法对输入的变化非常敏感。在IWT中，图像被分解成不同的层，因此更容易受到攻击。最强大的图像压缩算法之一是SPIHT，用于产生具有最佳重建图像的嵌入式比特流形式，该图像显示出显着的感知改进以及增加的PSNR。SPIHT编码从不使用码本，因此在传输时没有发送编码本的负担。通过三种方法的结合，得到了安全性高、无损压缩性能好、PSNR值高、质量因数较好的解密图像。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2019 International Conference on Intelligent Computing and Control Systems (ICCS)

自引率

0.00%

发文量