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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shi-Qiang Zhang Shu-Fang Zhang Xin-Nian Wang Yan Wang |
| Copyright Year | 2008 |
| Description | Author affiliation: Inf. Eng. Coll., Dalian Maritime Univ., Dalian (Shi-Qiang Zhang; Shu-Fang Zhang; Xin-Nian Wang; Yan Wang) |
| Abstract | An image compression method based on adaptive segment and adaptive quantified is presented in this paper. The image is divided into smooth and detail areas using the multi-threshold-segmentation method based on the potential function. The quantization table varied with the different image. The 2-D DCT is decomposed into 1-D fast DCT based on base-2 FFT. The Compression-to-PSNR Rate can evaluate the image compression result more effectively than that of the compression rate or PSNR respectively. The experiment shows that the algorithm gives the superior performance compared with traditional JPEG. |
| Starting Page | 353 |
| Ending Page | 353 |
| File Size | 671514 |
| Page Count | 1 |
| File Format | |
| ISBN | 9780769531618 |
| DOI | 10.1109/ICICIC.2008.666 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-06-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Barium Current transformers Computed tomography Artificial neural networks Argon Circuit faults Fault currents |
| Content Type | Text |
| Resource Type | Article |
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