Statistical Study on Perceived JPEG Image Quality via MCL-JCI Dataset Construction and Analysis

Authors:
  • LJLina Jin
    Lina Jin
  • JLJoe Yuchieh Lin
    Joe Yuchieh Lin
  • SHSudeng Hu
    Sudeng Hu
  • HWHaiqiang Wang
    Haiqiang Wang
  • PWPing Wang
    Ping Wang
  • IKIoannis Katsavounidis
    Ioannis Katsavounidis
  • AAAnne Aaron
    Anne Aaron
  • CKC.-C. Jay Kuo
    C.-C. Jay Kuo
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Abstract
The subjective test for compressed visual content is typically conducted by few experts called golden eyes. Here, we attempt to characterize the visual experience on JPEG-coded images of ordinary people statistically. To achieve this goal, a new image quality database, MCL-JCI, is constructed and introduced in this work. We explain the test procedure and conduct a preliminary analysis on test results. It is observed that people can only differentiate a finite number of quality levels and the perceived quality plot is a stair function of the coding bit rate. The relationship between the perceived quality plot and image content is discussed.