지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.7 No.2
- 발행연도
- 2012.3
- 수록면
- 264 - 272 (9page)
이용수
초록· 키워드
오류제보하기
In the field of medical diagnostics, interested parties have resorted increasingly to medical imaging. It is well established that the accuracy and completeness of diagnosis are initially connected with the image quality, but the quality of the image is itself dependent on a number of factors including primarily the processing that an image must undergo to enhance its quality. This paper introduces an algorithm for medical image compression based on the quincunx wavelets coupled with SPIHT coding algorithm, of which we applied the lattice structure to improve the wavelet transform shortcomings. In order to enhance the compression by our algorithm, we have compared the results obtained with those of other methods containing wavelet transforms. For this reason, we evaluated two parameters known for their calculation speed. The first parameter is the PSNR; the second is MSSIM (structural similarity) to measure the quality of compressed image. The results are very satisfactory regarding compression ratio, and the computation time and quality of the compressed image compared to those of traditional methods.
목차
Abstract
1. Introduction
2. Quincunx Wavelets
3. Quincunx Sampling and Filter banks
4. Fractional Quincunx Filters
5. SPIHT Coding Scheme
6. Compression Quality Evaluation
7. Results and Discussion
8. Conclusion
References
참고문헌 (23)
참고문헌 신청
Chappelier V. / 2005 / Progressive coding of images by directed wavelet
Mallat S. / 1989 / Multifrequency channel decompositions of images and wavelet models’’ / IEEE Transaction in Acoustic Speech and Signal Processing 37:2091~2110
Salomon D / Data ompression, The Complete Reference,Third Edition / Springe
Stromme, Oyvind / 1999 / On The Applicability of Wavelet Transforms to Image and Video Compression’’
Truchetet F / 1998 / Wavelets for digital signal, Hermes Edition
Mallat S. / 1989 / Multifrequency channel decompositions of images and wavelet models’’ / IEEE Transaction in Acoustic Speech and Signal Processing 37:2091~2110
Salomon D / Data ompression, The Complete Reference,Third Edition / Springe
Stromme, Oyvind / 1999 / On The Applicability of Wavelet Transforms to Image and Video Compression’’
Truchetet F / 1998 / Wavelets for digital signal, Hermes Edition
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UCI(KEPA) : I410-ECN-0101-2013-560-001532452