An improved image compression technique using large adaptive DCT psychovisual thresholds
High quality multimedia requires high bandwidth and data transfer rate to transmit multimedia data in communication networks. Image compression is one of solutions to reduce the storage of multimedia data which in turn allows an efficient transmission through networks. An adaptive image compression...
| Main Authors: | , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2019
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/30062/1/09042705.pdf http://umpir.ump.edu.my/id/eprint/30062/7/An%20improved%20image%20compression%20technique%20using%20large%20adaptive%20DCT%20.pdf |
| _version_ | 1796994360576835584 |
|---|---|
| author | Ernawan, Ferda Kabir, M. N. Mustaffa, Zuriani Moorthy, Kohbalan Ramalingam, Mritha |
| author_facet | Ernawan, Ferda Kabir, M. N. Mustaffa, Zuriani Moorthy, Kohbalan Ramalingam, Mritha |
| author_sort | Ernawan, Ferda |
| collection | UMP |
| description | High quality multimedia requires high bandwidth and data transfer rate to transmit multimedia data in communication networks. Image compression is one of solutions to reduce the storage of multimedia data which in turn allows an efficient transmission through networks. An adaptive image compression technique through customized quantization tables based on user preference has been widely used in many applications. Scaling quantization table can significantly influence the reconstruction error and compression rate. This paper proposes an adaptive psychovisual threshold for customizing large quantization tables to improve image compression. An adaptive psychovisual threshold is computed based on a smooth curve of the absolute reconstruction error by incrementing the DCT frequency order. Experimental results show that the performance of adaptive large DCT psychovisual threshold achieves high image quality and minimum average bit length of Huffman code. The proposed method also demonstrates that boundary effects do not appear when the compressed image is zoomed in to 400. |
| first_indexed | 2024-03-06T12:46:44Z |
| format | Conference or Workshop Item |
| id | UMPir30062 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T12:46:44Z |
| publishDate | 2019 |
| publisher | IEEE |
| record_format | dspace |
| spelling | UMPir300622023-05-08T07:29:25Z http://umpir.ump.edu.my/id/eprint/30062/ An improved image compression technique using large adaptive DCT psychovisual thresholds Ernawan, Ferda Kabir, M. N. Mustaffa, Zuriani Moorthy, Kohbalan Ramalingam, Mritha QA75 Electronic computers. Computer science QA76 Computer software High quality multimedia requires high bandwidth and data transfer rate to transmit multimedia data in communication networks. Image compression is one of solutions to reduce the storage of multimedia data which in turn allows an efficient transmission through networks. An adaptive image compression technique through customized quantization tables based on user preference has been widely used in many applications. Scaling quantization table can significantly influence the reconstruction error and compression rate. This paper proposes an adaptive psychovisual threshold for customizing large quantization tables to improve image compression. An adaptive psychovisual threshold is computed based on a smooth curve of the absolute reconstruction error by incrementing the DCT frequency order. Experimental results show that the performance of adaptive large DCT psychovisual threshold achieves high image quality and minimum average bit length of Huffman code. The proposed method also demonstrates that boundary effects do not appear when the compressed image is zoomed in to 400. IEEE 2019-07 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/30062/1/09042705.pdf pdf en http://umpir.ump.edu.my/id/eprint/30062/7/An%20improved%20image%20compression%20technique%20using%20large%20adaptive%20DCT%20.pdf Ernawan, Ferda and Kabir, M. N. and Mustaffa, Zuriani and Moorthy, Kohbalan and Ramalingam, Mritha (2019) An improved image compression technique using large adaptive DCT psychovisual thresholds. In: Proceedings of the 2nd IEEE International Conference on Knowledge Innovation and Invention 2019, ICKII 2019 , 12 - 15 July 2019 , Seoul, Korea (South). pp. 561-564. (9042705). ISBN 978-172810110-1 https://doi.org/ 10.1109/ICKII46306.2019.9042705 |
| spellingShingle | QA75 Electronic computers. Computer science QA76 Computer software Ernawan, Ferda Kabir, M. N. Mustaffa, Zuriani Moorthy, Kohbalan Ramalingam, Mritha An improved image compression technique using large adaptive DCT psychovisual thresholds |
| title | An improved image compression technique using large adaptive DCT psychovisual thresholds |
| title_full | An improved image compression technique using large adaptive DCT psychovisual thresholds |
| title_fullStr | An improved image compression technique using large adaptive DCT psychovisual thresholds |
| title_full_unstemmed | An improved image compression technique using large adaptive DCT psychovisual thresholds |
| title_short | An improved image compression technique using large adaptive DCT psychovisual thresholds |
| title_sort | improved image compression technique using large adaptive dct psychovisual thresholds |
| topic | QA75 Electronic computers. Computer science QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/30062/1/09042705.pdf http://umpir.ump.edu.my/id/eprint/30062/7/An%20improved%20image%20compression%20technique%20using%20large%20adaptive%20DCT%20.pdf |
| work_keys_str_mv | AT ernawanferda animprovedimagecompressiontechniqueusinglargeadaptivedctpsychovisualthresholds AT kabirmn animprovedimagecompressiontechniqueusinglargeadaptivedctpsychovisualthresholds AT mustaffazuriani animprovedimagecompressiontechniqueusinglargeadaptivedctpsychovisualthresholds AT moorthykohbalan animprovedimagecompressiontechniqueusinglargeadaptivedctpsychovisualthresholds AT ramalingammritha animprovedimagecompressiontechniqueusinglargeadaptivedctpsychovisualthresholds AT ernawanferda improvedimagecompressiontechniqueusinglargeadaptivedctpsychovisualthresholds AT kabirmn improvedimagecompressiontechniqueusinglargeadaptivedctpsychovisualthresholds AT mustaffazuriani improvedimagecompressiontechniqueusinglargeadaptivedctpsychovisualthresholds AT moorthykohbalan improvedimagecompressiontechniqueusinglargeadaptivedctpsychovisualthresholds AT ramalingammritha improvedimagecompressiontechniqueusinglargeadaptivedctpsychovisualthresholds |