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3D DCT Based Image Compression Method for the Medical Endoscopic Application
| Content Provider | MDPI |
|---|---|
| Author | Xue, Jiawen Yin, Li Lan, Zehua Long, Mingzhu Li, Guolin Wang, Zhihua Xie, Xiang |
| Copyright Year | 2021 |
| Description | This paper proposes a novel 3D discrete cosine transform (DCT) based image compression method for medical endoscopic applications. Due to the high correlation among color components of wireless capsule endoscopy (WCE) images, the original 2D Bayer data pattern is reconstructed into a new 3D data pattern, and 3D DCT is adopted to compress the 3D data for high compression ratio and high quality. For the low computational complexity of 3D-DCT, an optimized 4-point DCT butterfly structure without multiplication operation is proposed. Due to the unique characteristics of the 3D data pattern, the quantization and zigzag scan are ameliorated. To further improve the visual quality of decompressed images, a frequency-domain filter is proposed to eliminate the blocking artifacts adaptively. Experiments show that our method attains an average compression ratio (CR) of 22.94:1 with the peak signal to noise ratio (PSNR) of 40.73 dB, which outperforms state-of-the-art methods. |
| Starting Page | 1817 |
| e-ISSN | 14248220 |
| DOI | 10.3390/s21051817 |
| Journal | Sensors |
| Issue Number | 5 |
| Volume Number | 21 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-03-05 |
| Access Restriction | Open |
| Subject Keyword | Sensors Hardware and Architecturee Industrial Engineering Wireless Capsule Endoscopy (wce) 3d Dct Image Compression |
| Content Type | Text |
| Resource Type | Article |
