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Gabor function-based medical image compression
Image and Vision Computing, 1995Compression methods based on Gabor functions are implemented for simulated nuclear medicine liver images with and without lesions. The performance of the compression schemes is assessed objectively by comparing the original images to the compressed/reconstructed images through calculation of the Hotelling trace, an index that has been shown to ...
Mary P. Anderson +2 more
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Wavelet Packet Compression of Medical Images
Digital Signal Processing, 2002Abstract Tolba, A. S., Wavelet Packet Compression of Medical Images, Digital Signal Processing 12 (2002) 441–470 The increasing need for efficient image storage and transmission in hospitals imposes heavy requirements on the design of picture archiving and communication systems. Thus new methods are needed for efficient image compression.
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Optimal Wavelet Filters for Medical Image Compression
International Journal of Wavelets, Multiresolution and Information Processing, 2003Recently, the wavelet transform has emerged as a cutting edge technology, within the field of image compression research. The basis functions of the wavelet transform are known as wavelets. There are a variety of different wavelet functions to suit the needs of different applications.
Yin Fen Low, Rosli Besar
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Lossless Compression of Threshold-Segmented Medical Images
Journal of Medical Systems, 2011This paper introduces a new algorithm for losslessly compressing voxel-based 3D CT medical images. Firstly, medical data is segmented according to selected ranges of the Hounsfield scale. The data is then arranged into two data streams. The first stream identifies the positions of the remaining data after segmentation. This information is compressed by
Denis Spelic, Borut Zalik
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Interframe Compression Of Medical Images
[1990] Proceedings of the Twelfth Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2005Today the necessity to compress data in order to improve archiving and transmission of images is a widely held opinion in the medical imaging field. Medical image sequence compression is a real challenge which has not yet received much attention even if the use of 3D orthogonal transforms to achieve interframe compression was considered. We used Factor
V. Chameroy, R. Di Paola
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JPEG Compression in Medical Imaging
2010The use of digital imaging in medical applications has led to significant improvements in the ability to detect and diagnose health problems. Digital imaging provides the opportunity for creative and innovative processing methods that simply would not be possible with analog systems.
Paul Jones, Majid Rabbani
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Trends in Medical Image Compression
Current Medical Imaging Reviews, 2006This paper presents an overview on the state-of-the-art in the field of medical image coding. After a summary of the more representative 2D and 3D compression algorithms, a versatile model-based coding scheme for three- dimensional medical data is introduced.
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DeepFixCX: Explainable privacy-preserving image compression for medical image analysis
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2023Asim Smailagic +2 more
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Compression of Medical Images for Teleradiology
2008Compression is necessary for storage and transmission of the large number of radiologic images in hospitals. Many lossless and lossy compression algorithms are available. Good lossy compression has statistically no observable difference from lossless compression. A study shows that lossy compression may be beneficial for diagnosis.
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