Effective Visual Masking Techniques in JPEG2000

This paper introduces a very low complexity visual masking algorithm for the JPEG2000 image compression standard and evaluates its impact on the visual image quality by means of the Multi-scale SSIM index. The algorithm derives suitable weighting masks indirectly from a statistical model of the wavelet data which is defined from the second moment and the average absolute amplitude of the data. If combined with an a priori rate allocation algorithm, the computation of the visual masking weights has almost no overhead at all.

• Type: Conference
• Year: 2008
• Where: DCC
• Authors: Thomas Richter
• Keywords: Computer Graphics, DCC 2008, Visual Image Quality, Visual Masking Algorithm, Visual Masking Weights