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Weighted minmax algorithm for color image quantization
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Reitan, Paula J. |
| Copyright Year | 1999 |
| Description | The maximum intercluster distance and the maximum quantization error that are minimized by the MinMax algorithm are shown to be inappropriate error measures for color image quantization. A fast and effective (improves image quality) method for generalizing activity weighting to any histogram-based color quantization algorithm is presented. A new non-hierarchical color quantization technique called weighted MinMax that is a hybrid between the MinMax and Linde-Buzo-Gray (LBG) algorithms is also described. The weighted MinMax algorithm incorporates activity weighting and seeks to minimize WRMSE, whereby obtaining high quality quantized images with significantly less visual distortion than the MinMax algorithm. |
| File Size | 583419 |
| Page Count | 6 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19990109143 |
| Archival Resource Key | ark:/13960/t86h9h39b |
| Language | English |
| Publisher Date | 1999-01-01 |
| Access Restriction | Open |
| Subject Keyword | Computer Programming And Software Computer Programming Image Resolution Minimax Technique Image Analysis Error Analysis Algorithms Image Processing Computer Graphics Color Imaging Techniques Image Enhancement Ntrs Nasa Technical Reports ServerĀ (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |