3D DCT Based Image Compression Method for the Medical Endoscopic Application
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 pat...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-03-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/5/1817 |
| _version_ | 1797413532755558400 |
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| author | Jiawen Xue Li Yin Zehua Lan Mingzhu Long Guolin Li Zhihua Wang Xiang Xie |
| author_facet | Jiawen Xue Li Yin Zehua Lan Mingzhu Long Guolin Li Zhihua Wang Xiang Xie |
| author_sort | Jiawen Xue |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-09T05:19:23Z |
| format | Article |
| id | doaj.art-996f245dbe3c49439cf9413a33da8320 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T05:19:23Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-996f245dbe3c49439cf9413a33da83202023-12-03T12:42:01ZengMDPI AGSensors1424-82202021-03-01215181710.3390/s210518173D DCT Based Image Compression Method for the Medical Endoscopic ApplicationJiawen Xue0Li Yin1Zehua Lan2Mingzhu Long3Guolin Li4Zhihua Wang5Xiang Xie6Institute of Microelectronics, Tsinghua University, Beijing 100084, ChinaInstitute of Microelectronics, Tsinghua University, Beijing 100084, ChinaInstitute of Microelectronics, Tsinghua University, Beijing 100084, ChinaInstitute of Microelectronics, Tsinghua University, Beijing 100084, ChinaDepartment of Electronic Engineering, Tsinghua University, Beijing 100084, ChinaInstitute of Microelectronics, Tsinghua University, Beijing 100084, ChinaInstitute of Microelectronics, Tsinghua University, Beijing 100084, ChinaThis 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.https://www.mdpi.com/1424-8220/21/5/1817wireless capsule endoscopy (WCE)3D DCTimage compression |
| spellingShingle | Jiawen Xue Li Yin Zehua Lan Mingzhu Long Guolin Li Zhihua Wang Xiang Xie 3D DCT Based Image Compression Method for the Medical Endoscopic Application Sensors wireless capsule endoscopy (WCE) 3D DCT image compression |
| title | 3D DCT Based Image Compression Method for the Medical Endoscopic Application |
| title_full | 3D DCT Based Image Compression Method for the Medical Endoscopic Application |
| title_fullStr | 3D DCT Based Image Compression Method for the Medical Endoscopic Application |
| title_full_unstemmed | 3D DCT Based Image Compression Method for the Medical Endoscopic Application |
| title_short | 3D DCT Based Image Compression Method for the Medical Endoscopic Application |
| title_sort | 3d dct based image compression method for the medical endoscopic application |
| topic | wireless capsule endoscopy (WCE) 3D DCT image compression |
| url | https://www.mdpi.com/1424-8220/21/5/1817 |
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