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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제15권 제2호
- 발행연도
- 2019.1
- 수록면
- 288 - 304 (17page)
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초록· 키워드
오류제보하기
The growth of telemedicine-based wireless communication for images—magnetic resonance imaging (MRI)and computed tomography (CT)—leads to the necessity of learning the concept of image compression. Overthe years, the transform based and spatial based compression techniques have attracted many types ofresearches and achieve better results at the cost of high computational complexity. In order to overcome this,the optimization techniques are considered with the existing image compression techniques. However, it failsto preserve the original content of the diagnostic information and cause artifacts at high compression ratio. In this paper, the concept of histogram based multilevel thresholding (HMT) using entropy is appended withthe optimization algorithm to compress the medical images effectively. However, the method becomes timeconsuming during the measurement of the randomness from the image pixel group and not suitable formedical applications. Hence, an attempt has been made in this paper to develop an HMT based imagecompression by utilizing the opposition based improved harmony search algorithm (OIHSA) as anoptimization technique along with the entropy. Further, the enhancement of the significant informationpresent in the medical images are improved by the proper selection of entropy and the number of thresholdschosen to reconstruct the compressed image.
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참고문헌 (32)
참고문헌 신청
M. Rehman / 2014 / Image compression : a survey / Research Journal of Applied Sciences, Engineering and Technology 7(4):656~672
B. Alagendran / 2012 / A survey on various medical image compression techniques / International Journal of Soft Computing and Engineering 2(1):425~428
K. Uma / 2011 / Comparison of image compression using GA, ACO and PSO techniques / Proceedings of 2011 International Conference on Recent Trends in Information Technology :815~820
S. Bhavani / 2013 / Comparison of fractal coding methods for medical image compression / IET image Processing 7(7):686~693
D. Oliva / 2013 / Multilevel thresholding segmentation based on harmony search optimization / Journal of Applied Mathematics 2013
B. Alagendran / 2012 / A survey on various medical image compression techniques / International Journal of Soft Computing and Engineering 2(1):425~428
K. Uma / 2011 / Comparison of image compression using GA, ACO and PSO techniques / Proceedings of 2011 International Conference on Recent Trends in Information Technology :815~820
S. Bhavani / 2013 / Comparison of fractal coding methods for medical image compression / IET image Processing 7(7):686~693
D. Oliva / 2013 / Multilevel thresholding segmentation based on harmony search optimization / Journal of Applied Mathematics 2013
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