Adaptive DCT coding using the new universal image quality index

Aldo Morales; Sedig Agili; Lakshmi P. Baskaran

doi:10.1117/12.617930

Adaptive DCT coding using the new universal image quality index

Aldo Morales, Sedig Agili, Lakshmi P. Baskaran

School of Science, Engineering & Technology (Harrisburg)

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

An adaptive discrete cosine transform (DCT) algorithm was presented by Hontsch et. al. under the perceptual metric which provided good bit rate. However, this method requires carefully calibrated viewing conditions. In this paper, we present a new adaptive discrete cosine transform where the quantization steps are adapted for each DCT coefficient using the new universal quality index. This new quality index does not require carefully calibrated viewing conditions and it is based on a combination of luminance and contrast distortions, and loss of correlation. Results obtained show that the procedure converges and provides a good bit rate.

Original language	English (US)
Article number	59150H
Pages (from-to)	1-8
Number of pages	8
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5915
DOIs	https://doi.org/10.1117/12.617930
State	Published - 2005
Event	Mathematics of Data/Image Coding, Compression, and Encryption VIII, with Applications - San Diego, CA, United States Duration: Aug 1 2005 → Aug 3 2005

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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10.1117/12.617930

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title = "Adaptive DCT coding using the new universal image quality index",

abstract = "An adaptive discrete cosine transform (DCT) algorithm was presented by Hontsch et. al. under the perceptual metric which provided good bit rate. However, this method requires carefully calibrated viewing conditions. In this paper, we present a new adaptive discrete cosine transform where the quantization steps are adapted for each DCT coefficient using the new universal quality index. This new quality index does not require carefully calibrated viewing conditions and it is based on a combination of luminance and contrast distortions, and loss of correlation. Results obtained show that the procedure converges and provides a good bit rate.",

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AU - Agili, Sedig

AU - Baskaran, Lakshmi P.

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AB - An adaptive discrete cosine transform (DCT) algorithm was presented by Hontsch et. al. under the perceptual metric which provided good bit rate. However, this method requires carefully calibrated viewing conditions. In this paper, we present a new adaptive discrete cosine transform where the quantization steps are adapted for each DCT coefficient using the new universal quality index. This new quality index does not require carefully calibrated viewing conditions and it is based on a combination of luminance and contrast distortions, and loss of correlation. Results obtained show that the procedure converges and provides a good bit rate.

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Adaptive DCT coding using the new universal image quality index

Abstract

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