Improved Image Compression Scheme Using Hybrid Encoding Algorithm.
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| Název: | Improved Image Compression Scheme Using Hybrid Encoding Algorithm. |
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| Autoři: | Salih, Yusra Ahmed, Mohammed, Aree Ali, George, Loay Edwar |
| Zdroj: | Kurdistan Journal of Applied Research (KJAR); Dec2019, Vol. 4 Issue 2, p90-101, 12p |
| Témata: | IMAGE compression, IMAGE databases, ALGORITHMS |
| Abstrakt: | A color image compression is the most challenging task in the field of multimedia. During last decades several techniques are developed for improving the quality, coding time and compression ratio using different coding strategies. In this work, an effective compression method for hybrid images is proposed based on the discrete wavelet transformation and hybrid encoding algorithm (Huffman and SPIHT). This paper's primary participation is to take advantage of the hybrid encoding technique to maintain the quality of the reconstructed image and the reduction of time complexity. The sample test images are taken from both standard image database and highquality images (SD and HD). The performance of the proposed scheme is evaluated by using different metrics such as (PSNR, compression ratio and encoding time). Test results indicate that the time and compression ratio of encoding are improved in the expense of the image quality. [ABSTRACT FROM AUTHOR] |
| Copyright of Kurdistan Journal of Applied Research (KJAR) is the property of Sulaimani Polytechnic University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Databáze: | Complementary Index |
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