| Autor: |
PANDIAN, R., KUMARI, S. LALITHA, KUMAR, R. RAJA, RAVIKUMAR, D. N. S. |
| Předmět: |
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| Zdroj: |
i-Manager's Journal on Image Processing; Oct-Dec2018, Vol. 5 Issue 4, p34-38, 5p |
| Abstrakt: |
Image compression techniques find a wide role in the field of underwater image processing. The wavelet based image compression algorithm performance mainly depends on the encoding methods adopted. In this work, symlet wavelet and hybrid encoding techniques such as Set Partitioning Hierarchy Tree and Huffman encoding are applied on an underwater image and the performance is estimated by compression ratio and PSNR. The results clearly indicate that hybrid encoding performed well. In order to assess its value, PSNR and CR are calculated. The best compression algorithm is chosen based on a compromise between PSNR and CR. The underwater images are compressed in this work. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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