Zeros Removal with DCT Image Compression Technique
The discrete cosine transform (DCT) is a method for converting a signal into plain frequency components. It is extensively used in image compression. In this paper a new technique is proposed, namely ZRDCT (Zeros Removal with DCT) which is based on a lossy compression, and used to enhance image dat...
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| Format: | Article |
| Language: | English |
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Faculty of Computer Science and Mathematics, University of Kufa
2011-05-01
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| Series: | Journal of Kufa for Mathematics and Computer |
| Subjects: | |
| Online Access: | https://journal.uokufa.edu.iq/index.php/jkmc/article/view/2144 |
| _version_ | 1827321584277258240 |
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| author | Nushwan Yousif Baithoon |
| author_facet | Nushwan Yousif Baithoon |
| author_sort | Nushwan Yousif Baithoon |
| collection | DOAJ |
| description |
The discrete cosine transform (DCT) is a method for converting a signal into plain frequency components. It is extensively used in image compression. In this paper a new technique is proposed, namely ZRDCT (Zeros Removal with DCT) which is based on a lossy compression, and used to enhance image data compression.
Image quality is measured impartially, using peak signal-to-noise ratio (PSNR) or picture quality scale, and individually using perceived image quality with compression factor (CF) being the main theme of this paper, taking into consideration the preservation of well PSNR outputs.Â
The performance of DCT compression generally degrades low bit-rates mainly because of the underlying block-based DCT scheme. Experimental results demonstrated the effectiveness of the ZRDCT approach, which enhanced the performance of the conventional DCT image compression methods, by investigating and interrogating the whole image and hence enforcing mechanisms for finding possible redundant information and therefore the removal of unnecessary data which lead to an improvement in CF without upsetting PSNR.
The new technique also proved to have low distortions with good quality PSNR, commendable CF and good execution time, when compared to other various DCT schemes and with some wavelet based image compression
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| first_indexed | 2024-04-25T01:09:47Z |
| format | Article |
| id | doaj.art-d921da872a0c47a084c5f5bd6430b2fa |
| institution | Directory Open Access Journal |
| issn | 2076-1171 2518-0010 |
| language | English |
| last_indexed | 2024-04-25T01:09:47Z |
| publishDate | 2011-05-01 |
| publisher | Faculty of Computer Science and Mathematics, University of Kufa |
| record_format | Article |
| series | Journal of Kufa for Mathematics and Computer |
| spelling | doaj.art-d921da872a0c47a084c5f5bd6430b2fa2024-03-10T10:59:06ZengFaculty of Computer Science and Mathematics, University of KufaJournal of Kufa for Mathematics and Computer2076-11712518-00102011-05-011310.31642/JoKMC/2018/010305Zeros Removal with DCT Image Compression TechniqueNushwan Yousif Baithoon0University of Baghdad The discrete cosine transform (DCT) is a method for converting a signal into plain frequency components. It is extensively used in image compression. In this paper a new technique is proposed, namely ZRDCT (Zeros Removal with DCT) which is based on a lossy compression, and used to enhance image data compression. Image quality is measured impartially, using peak signal-to-noise ratio (PSNR) or picture quality scale, and individually using perceived image quality with compression factor (CF) being the main theme of this paper, taking into consideration the preservation of well PSNR outputs. The performance of DCT compression generally degrades low bit-rates mainly because of the underlying block-based DCT scheme. Experimental results demonstrated the effectiveness of the ZRDCT approach, which enhanced the performance of the conventional DCT image compression methods, by investigating and interrogating the whole image and hence enforcing mechanisms for finding possible redundant information and therefore the removal of unnecessary data which lead to an improvement in CF without upsetting PSNR. The new technique also proved to have low distortions with good quality PSNR, commendable CF and good execution time, when compared to other various DCT schemes and with some wavelet based image compression https://journal.uokufa.edu.iq/index.php/jkmc/article/view/2144Discrete Cosine Transform Image CompressionPeak Signal-to–Noise Ratio Compression Factor. |
| spellingShingle | Nushwan Yousif Baithoon Zeros Removal with DCT Image Compression Technique Journal of Kufa for Mathematics and Computer Discrete Cosine Transform Image Compression Peak Signal-to–Noise Ratio Compression Factor. |
| title | Zeros Removal with DCT Image Compression Technique |
| title_full | Zeros Removal with DCT Image Compression Technique |
| title_fullStr | Zeros Removal with DCT Image Compression Technique |
| title_full_unstemmed | Zeros Removal with DCT Image Compression Technique |
| title_short | Zeros Removal with DCT Image Compression Technique |
| title_sort | zeros removal with dct image compression technique |
| topic | Discrete Cosine Transform Image Compression Peak Signal-to–Noise Ratio Compression Factor. |
| url | https://journal.uokufa.edu.iq/index.php/jkmc/article/view/2144 |
| work_keys_str_mv | AT nushwanyousifbaithoon zerosremovalwithdctimagecompressiontechnique |