| Paper: | MP-L4.7 |
| Session: | Image and Video Modeling I |
| Time: | Monday, September 17, 16:50 - 17:10 |
| Presentation: |
Lecture
|
| Title: |
PERCEPTUAL IMAGE CODING BASED ON A MAXIMUM OF MINIMAL STRUCTURAL SIMILARITY CRITERION |
| Authors: |
Zhou Wang; University of Texas at Arlington | | |
| | Qiang Li; University of Texas at Arlington | | |
| | Xinli Shang; Microsoft Corporation | | |
| Abstract: |
Perceptual image coding algorithms typically impose perceptual modeling in a preprocessing stage. A perceptual normalization model is often used to transform the original image signal into a perceptually uniform space, in which all the transform coefficients have equal perceptual importance. Standard coding schemes are then applied uniformly to all coefficients. Here we use a different approach, in which we iteratively reallocates the available bits over the image space based on a maximum of minimal structural similarity criterion}. We demonstrate the proposed method by incorporating it with the bitplane coding scheme in the set partitioning in hierarchical trees algorithm. |
