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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chip-Hong Chang Rui Xiao Srikanthan, T. |
| Copyright Year | 2002 |
| Description | Author affiliation: Centre for High Performance Embedded Syst., Nanyang Technol. Univ., Singapore, Singapore (Chip-Hong Chang; Rui Xiao; Srikanthan, T.) |
| Abstract | A novel most significant bit (MSB) biased self organizing feature map (SOFM) algorithm, suitable for VLSI implementation, has been proposed for digital still color image compression. By encoding each pixel's RGB values with a negative 128 bias and presenting only its least significant 7-bit magnitude to the SOFM network, 3 to 6 dB improvement in PSNR can be achieved in the reconstructed images. Based on this new encoding scheme, which requires only a simple selective complementation, the entire SOFM network can be significantly scaled down without severely scarifying the visual quality of the displayed images. |
| Starting Page | 85 |
| Ending Page | 88 |
| File Size | 677077 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780376900 |
| DOI | 10.1109/APCCAS.2002.1115129 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-10-28 |
| Publisher Place | Indonesia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Color Image coding Very large scale integration Image reconstruction Embedded system Pixel Costs Humans Vector quantization Hardware |
| Content Type | Text |
| Resource Type | Article |
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