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Using Modified Set Partitioning In Hierarchical Tree Algorithm with Discreet Cosine Transform to Compress Color Images | ||
| Engineering and Technology Journal | ||
| Article 1, Volume 28, Issue 17, 2010, Pages 5502-5513 PDF (260.54 K) | ||
| DOI: 10.30684/etj.28.17.9 | ||
| Authors | ||
| Ban Nadeem Dhannoon; Khairiyah Saeed Abduljabbar | ||
| Abstract | ||
| The aim of this research is to investigate the performance of a suggested image compression system. The scheme of the proposed system utilizes Tap 9/7 wavelet transforms to decompose the image signal, and then uses Discrete Cosine Transform (DCT), and uniform quantization; to compress the approximate coefficients. The detail coefficients are coded by hierarchical uniform quantization, and then the original and modified Set Partitioning In Hierarchical Tree (SPIHT) methods were applied on each color band separately. At the end some spatial coding steps were applied on List of Significant Pixels (LSP) like Run Length Encoding (RLE) and Shift Coding to gain more compression. The test results indicate that the modified compression scheme shows a good performance aspect in addition to its simplicity. | ||
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