An Efficient Image Compression Technique using Tchebichef Bit Allocation
The psychovisual technique has brought about significant improvement in pursuing image analysis and image reconstruction. The psychovisual threshold can be utilized to find the optimal bits-budget for image signals. The psychovisual system is developed based on noticeable distortion of the compresse...
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| Format: | Article |
| Language: | English English |
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Elsevier
2017
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| Online Access: | http://umpir.ump.edu.my/id/eprint/18617/ http://umpir.ump.edu.my/id/eprint/18617/3/1-s2.0-S0030402617308999-main.pdf http://umpir.ump.edu.my/id/eprint/18617/9/fskkp-2017-ferda-efficient%20image%20compression%20technique1.pdf |
| _version_ | 1848820718086651904 |
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| author | Ernawan, Ferda M. Nomani, Kabir Kamal Z., Zamli |
| author_facet | Ernawan, Ferda M. Nomani, Kabir Kamal Z., Zamli |
| author_sort | Ernawan, Ferda |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | The psychovisual technique has brought about significant improvement in pursuing image analysis and image reconstruction. The psychovisual threshold can be utilized to find the optimal bits-budget for image signals. The psychovisual system is developed based on noticeable distortion of the compressed image from an original image in frequency order. This paper proposes an image compression technique using Tchebichef psychovisual threshold for generating an optimal bits-budget of image signals. The bits-budget is designed to replace the main role of quantization tables in image compression. The experimental results show that the proposed bits-budget technique can improve the visual quality of image output by 42 of JPEG compression. The visual image quality of Thcebichef bits allocation produces less artifact effect and distortion of the image pixels. A set of bits-budgets gives excellent improvement in the image quality at a low average bit length of Huffman code than the image coding using quantization tables. |
| first_indexed | 2025-11-15T02:13:54Z |
| format | Article |
| id | ump-18617 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T02:13:54Z |
| publishDate | 2017 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-186172018-09-25T08:37:32Z http://umpir.ump.edu.my/id/eprint/18617/ An Efficient Image Compression Technique using Tchebichef Bit Allocation Ernawan, Ferda M. Nomani, Kabir Kamal Z., Zamli QA75 Electronic computers. Computer science QA76 Computer software The psychovisual technique has brought about significant improvement in pursuing image analysis and image reconstruction. The psychovisual threshold can be utilized to find the optimal bits-budget for image signals. The psychovisual system is developed based on noticeable distortion of the compressed image from an original image in frequency order. This paper proposes an image compression technique using Tchebichef psychovisual threshold for generating an optimal bits-budget of image signals. The bits-budget is designed to replace the main role of quantization tables in image compression. The experimental results show that the proposed bits-budget technique can improve the visual quality of image output by 42 of JPEG compression. The visual image quality of Thcebichef bits allocation produces less artifact effect and distortion of the image pixels. A set of bits-budgets gives excellent improvement in the image quality at a low average bit length of Huffman code than the image coding using quantization tables. Elsevier 2017-09-04 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/18617/3/1-s2.0-S0030402617308999-main.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/18617/9/fskkp-2017-ferda-efficient%20image%20compression%20technique1.pdf Ernawan, Ferda and M. Nomani, Kabir and Kamal Z., Zamli (2017) An Efficient Image Compression Technique using Tchebichef Bit Allocation. Optik - International Journal for Light and Electron Optics, 148. pp. 106-119. ISSN 0030-4026. (Published) https://doi.org/10.1016/j.ijleo.2017.08.007 doi: 10.1016/j.ijleo.2017.08.007 |
| spellingShingle | QA75 Electronic computers. Computer science QA76 Computer software Ernawan, Ferda M. Nomani, Kabir Kamal Z., Zamli An Efficient Image Compression Technique using Tchebichef Bit Allocation |
| title | An Efficient Image Compression Technique using Tchebichef Bit Allocation |
| title_full | An Efficient Image Compression Technique using Tchebichef Bit Allocation |
| title_fullStr | An Efficient Image Compression Technique using Tchebichef Bit Allocation |
| title_full_unstemmed | An Efficient Image Compression Technique using Tchebichef Bit Allocation |
| title_short | An Efficient Image Compression Technique using Tchebichef Bit Allocation |
| title_sort | efficient image compression technique using tchebichef bit allocation |
| topic | QA75 Electronic computers. Computer science QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/18617/ http://umpir.ump.edu.my/id/eprint/18617/ http://umpir.ump.edu.my/id/eprint/18617/ http://umpir.ump.edu.my/id/eprint/18617/3/1-s2.0-S0030402617308999-main.pdf http://umpir.ump.edu.my/id/eprint/18617/9/fskkp-2017-ferda-efficient%20image%20compression%20technique1.pdf |