A window-based color quantization technique and its embedded implementation
| Autor: | N. Kroupis, Antonios Atsalakis, Dimitrios Soudris, Nikos Papamarkos |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
Very-large-scale integration
Contextual image classification business.industry Computer science Quantization (signal processing) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image segmentation Color quantization Computer Science::Hardware Architecture Embedded system Computer vision Artificial intelligence business Quantization (image processing) Data compression |
| Zdroj: | ICIP (2) |
| DOI: | 10.1109/icip.2002.1039963 |
| Popis: | A new color quantization (CQ) technique and its VLSI implementation is introduced. It is based on image split into windows and uses Kohonen self organized neural network classifier (SONNC). Initially, the dominant colors of each window are extracted through the SONNC and then are used for the quantization of the colors of the entire image. The image split in windows offers reduction of the memory requirements and feasibility of suitable VLSI implementation of the most time consuming part of the technique. Applying a systematic design methodology into the developed CQ algorithm, an efficient system-on-chip based on the ARM processor, which achieves high speed processing and less energy consumption, is derived. |
| Databáze: | OpenAIRE |
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