Performance improvement of the SPIHT coder
The set partitioning in hierarchical trees (SPIHT) coder is one of the state-of-the-art coders among the wavelet-based image compression coders. For improving the performance of the SPIHT coder, in this paper, we propose a pre-processing method that applies the discrete sine transform or the discret...
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Veröffentlicht in: | Signal processing. Image communication 2004, Vol.19 (1), p.29-36, Article 29 |
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creator | Kim, Ki-Lyug Ra, Sung-Woong |
description | The set partitioning in hierarchical trees (SPIHT) coder is one of the state-of-the-art coders among the wavelet-based image compression coders. For improving the performance of the SPIHT coder, in this paper, we propose a pre-processing method that applies the discrete sine transform or the discrete cosine transform to the wavelet coefficients in the highest frequency subbands and in the next highest frequency subbands before the SPIHT encoding. Experimental results show that the proposed method increases the peak signal to noise ratio by up to 0.4
(dB) in textured images over the original SPIHT coder. |
doi_str_mv | 10.1016/j.image.2003.08.015 |
format | Article |
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(dB) in textured images over the original SPIHT coder.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Discrete cosine transform</subject><subject>Discrete sine transform</subject><subject>Exact sciences and technology</subject><subject>Image coding</subject><subject>Image compression</subject><subject>Image processing</subject><subject>Information, signal and communications theory</subject><subject>Pattern recognition. Digital image processing. Computational geometry</subject><subject>Signal processing</subject><subject>SPIHT</subject><subject>Telecommunications and information theory</subject><subject>Wavelet transform</subject><issn>0923-5965</issn><issn>1879-2677</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><recordid>eNqFkMFKxDAQhoMouK4-gZde9CC0TpKmbQ4eZFFXWFBQzyEmE83SbjSpgm9v1hUED3qay__9M_MRckihokCb02XlB_2EFQPgFXQVULFFJrRrZcmatt0mE5CMl0I2YpfspbQEAFaDnJCTW4wuxEGvDBZ-eInhHQdcjUVwxfiMxd3t9fy-MMFi3Cc7TvcJD77nlDxcXtzP5uXi5up6dr4oDW_YWNbOOapZy1ratMJKKx6d7Gora241csGgs4A11Y5SeGTrODCQnFndMFdTPiXHm958zOsbplENPhnse73C8JYU6zhlVIgc5JugiSGliE69xOwhfigKau1FLdWXF7X2oqBT2Uumjr7rdTK6dzG_7tMPKjjvBNQ5J3-1Gz_q0YfVGLXv_9lxtmExe3r3GFUyHrNi6yOaUdng_-Q_AYggit0</recordid><startdate>2004</startdate><enddate>2004</enddate><creator>Kim, Ki-Lyug</creator><creator>Ra, Sung-Woong</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>H8D</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>2004</creationdate><title>Performance improvement of the SPIHT coder</title><author>Kim, Ki-Lyug ; Ra, Sung-Woong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c362t-4fff1a27271675d9d5bf984d943dae35208d0e41af110b24fff020932da62f413</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Computer science; control theory; systems</topic><topic>Discrete cosine transform</topic><topic>Discrete sine transform</topic><topic>Exact sciences and technology</topic><topic>Image coding</topic><topic>Image compression</topic><topic>Image processing</topic><topic>Information, signal and communications theory</topic><topic>Pattern recognition. Digital image processing. Computational geometry</topic><topic>Signal processing</topic><topic>SPIHT</topic><topic>Telecommunications and information theory</topic><topic>Wavelet transform</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Ki-Lyug</creatorcontrib><creatorcontrib>Ra, Sung-Woong</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Signal processing. Image communication</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Ki-Lyug</au><au>Ra, Sung-Woong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Performance improvement of the SPIHT coder</atitle><jtitle>Signal processing. Image communication</jtitle><date>2004</date><risdate>2004</risdate><volume>19</volume><issue>1</issue><spage>29</spage><epage>36</epage><pages>29-36</pages><artnum>29</artnum><issn>0923-5965</issn><eissn>1879-2677</eissn><abstract>The set partitioning in hierarchical trees (SPIHT) coder is one of the state-of-the-art coders among the wavelet-based image compression coders. For improving the performance of the SPIHT coder, in this paper, we propose a pre-processing method that applies the discrete sine transform or the discrete cosine transform to the wavelet coefficients in the highest frequency subbands and in the next highest frequency subbands before the SPIHT encoding. Experimental results show that the proposed method increases the peak signal to noise ratio by up to 0.4
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source | Elsevier ScienceDirect Journals Complete |
subjects | Applied sciences Artificial intelligence Computer science control theory systems Discrete cosine transform Discrete sine transform Exact sciences and technology Image coding Image compression Image processing Information, signal and communications theory Pattern recognition. Digital image processing. Computational geometry Signal processing SPIHT Telecommunications and information theory Wavelet transform |
title | Performance improvement of the SPIHT coder |
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