Subjective image quality tradeoffs between spatial resolution and quantization noise

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish (US)
Title of host publication2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings
Pages2957-2960
Number of pages4
DOIs
StatePublished - Dec 1 2006
Event2006 IEEE International Conference on Image Processing, ICIP 2006 - Atlanta, GA, United States
Duration: Oct 8 2006Oct 11 2006

Publication series

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

Other

Other2006 IEEE International Conference on Image Processing, ICIP 2006
CountryUnited States
CityAtlanta, GA
Period10/8/0610/11/06

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

Fingerprint Dive into the research topics of 'Subjective image quality tradeoffs between spatial resolution and quantization noise'. Together they form a unique fingerprint.

Cite this