An Adaptive JPEG Image Compression Using Psychovisual Model

JPEG baseline coding is a popular basic image compression technique. The JPEG-3 image compression is an extension of standard JPEG image compression which uses a quality factor to scale quantization table. In order to achieve high compression rate, the JPEG-3 image compression uses lower quality f...

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Main Authors: Ferda, Ernawan, Nor Azman, Abu, Nanna Suryana, Herman
格式: Article
語言:English
出版: American Scientific Publishers 2014
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在線閱讀:http://eprints.utem.edu.my/id/eprint/16696/2/J17%20Ferda%20et%20al%20An%20Adaptive%20JPEG%20Advanced%20Science%202014.pdf
http://eprints.utem.edu.my/id/eprint/16696/
https://www.scopus.com/record/display.uri?eid=2-s2.0-84887983736&origin=resultslist&sort=plf-f&src=s&st1=AN+ADAPTIVE+JPEG+IMAGE+COMPRESSION+USING+PSYCHOVISUAL+MODEL&st2=&sid=75C26E3B85B76FD19E0336243FF4BEF0.f594dyPDCy4K3aQHRor6A%3a230&sot=b&sdt=b&sl=74&s=
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機構: Universiti Teknikal Malaysia Melaka
語言: English
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總結:JPEG baseline coding is a popular basic image compression technique. The JPEG-3 image compression is an extension of standard JPEG image compression which uses a quality factor to scale quantization table. In order to achieve high compression rate, the JPEG-3 image compression uses lower quality factor. The lower bit rates of image compression using scaling factor will degrade the visual quality on the images being compressed. This paper proposes a high compression scheme based on psychovisual threshold as an adaptive image compression. The comparison between JPEG-3 image compression using the typical quality factor and an adaptive psychovisual threshold has been done. The experimental results of an adaptive quantization tables based on psychovisual threshold show an improvement on the quality image reconstruction at the lower average bit length of Huffman code.