Subjective image quality tradeoffs between spatial resolution and quantization noise

Soo Hyun Bae; Thrasyvoulos N. Pappas; Biing Hwang Juang

doi:10.1109/ICIP.2006.312927

Subjective image quality tradeoffs between spatial resolution and quantization noise

Soo Hyun Bae, Thrasyvoulos N. Pappas, Biing Hwang Juang

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

The importance of tradeoffs between spatial resolution and quantization noise has been examined in our previous work. Subjective experiments indicate that as the bitrate decreases, human observers generally prefer to reduce image resolution in order to maintain image quality, but the amount of distortion they are willing to accept increases with decreasing resolution. In this paper, we conducted further experiments with several images, different encoders, and a finer set of bitrates to determine the preferred resolution at each bitrate, and also the resolution at which there are no visible coding artifacts. Analysis of the subjective results using a wavelet-based perceptual quality metric verifies our earlier conclusion that human observers tend to reduce resolution in order to maintain image quality, but are willing to accept more artifacts as image size decreases.

Original language	English (US)
Title of host publication	2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings
Pages	2957-2960
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2006.312927
State	Published - 2006
Event	2006 IEEE International Conference on Image Processing, ICIP 2006 - Atlanta, GA, United States Duration: Oct 8 2006 → Oct 11 2006

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
ISSN (Print)	1522-4880

Other

Other	2006 IEEE International Conference on Image Processing, ICIP 2006
Country/Territory	United States
City	Atlanta, GA
Period	10/8/06 → 10/11/06

Keywords

Human visual perception
Image and video quality
Just noticeable distortion
Noise visibility
Scalability

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Signal Processing

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10.1109/ICIP.2006.312927

Cite this

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title = "Subjective image quality tradeoffs between spatial resolution and quantization noise",

abstract = "The importance of tradeoffs between spatial resolution and quantization noise has been examined in our previous work. Subjective experiments indicate that as the bitrate decreases, human observers generally prefer to reduce image resolution in order to maintain image quality, but the amount of distortion they are willing to accept increases with decreasing resolution. In this paper, we conducted further experiments with several images, different encoders, and a finer set of bitrates to determine the preferred resolution at each bitrate, and also the resolution at which there are no visible coding artifacts. Analysis of the subjective results using a wavelet-based perceptual quality metric verifies our earlier conclusion that human observers tend to reduce resolution in order to maintain image quality, but are willing to accept more artifacts as image size decreases.",

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author = "Bae, {Soo Hyun} and Pappas, {Thrasyvoulos N.} and Juang, {Biing Hwang}",

year = "2006",

doi = "10.1109/ICIP.2006.312927",

language = "English (US)",

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series = "Proceedings - International Conference on Image Processing, ICIP",

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booktitle = "2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings",

note = "2006 IEEE International Conference on Image Processing, ICIP 2006 ; Conference date: 08-10-2006 Through 11-10-2006",

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Bae, SH, Pappas, TN & Juang, BH 2006, Subjective image quality tradeoffs between spatial resolution and quantization noise. in 2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings., 4107190, Proceedings - International Conference on Image Processing, ICIP, pp. 2957-2960, 2006 IEEE International Conference on Image Processing, ICIP 2006, Atlanta, GA, United States, 10/8/06. https://doi.org/10.1109/ICIP.2006.312927

Subjective image quality tradeoffs between spatial resolution and quantization noise. / Bae, Soo Hyun; Pappas, Thrasyvoulos N.; Juang, Biing Hwang.
2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings. 2006. p. 2957-2960 4107190 (Proceedings - International Conference on Image Processing, ICIP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - The importance of tradeoffs between spatial resolution and quantization noise has been examined in our previous work. Subjective experiments indicate that as the bitrate decreases, human observers generally prefer to reduce image resolution in order to maintain image quality, but the amount of distortion they are willing to accept increases with decreasing resolution. In this paper, we conducted further experiments with several images, different encoders, and a finer set of bitrates to determine the preferred resolution at each bitrate, and also the resolution at which there are no visible coding artifacts. Analysis of the subjective results using a wavelet-based perceptual quality metric verifies our earlier conclusion that human observers tend to reduce resolution in order to maintain image quality, but are willing to accept more artifacts as image size decreases.

AB - The importance of tradeoffs between spatial resolution and quantization noise has been examined in our previous work. Subjective experiments indicate that as the bitrate decreases, human observers generally prefer to reduce image resolution in order to maintain image quality, but the amount of distortion they are willing to accept increases with decreasing resolution. In this paper, we conducted further experiments with several images, different encoders, and a finer set of bitrates to determine the preferred resolution at each bitrate, and also the resolution at which there are no visible coding artifacts. Analysis of the subjective results using a wavelet-based perceptual quality metric verifies our earlier conclusion that human observers tend to reduce resolution in order to maintain image quality, but are willing to accept more artifacts as image size decreases.

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Subjective image quality tradeoffs between spatial resolution and quantization noise

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Keywords

ASJC Scopus subject areas

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