Paper
27 April 1995 Adaptive quantization in overlapped transform coding of medical x-ray images
Richard R. Heusdens, Marcel M. Breeuwer, R. Klein Gunnewiek
Author Affiliations +
Abstract
In previous papers, we presented an overlapped transform-coding method for efficient data compression of medical x-ray image series. In this paper, we address two improvements of this method. Firstly, we applied the method to so-called enhanced x-ray images, i.e. to images of which the middle and high frequencies had been emphasized. In this paper, we explain how to code raw instead of enhanced images under the constraint that enhancement of the coded raw images does not lead to a clear visibility of coding artefacts. Secondly, the coding artefacts introduced at high compression ratios by the previously published method are more clearly visible in the dark than in the bright areas of an image. In this paper, we explain what provisions can be added to our data-compression system to achieve a better balance between the perceptual image quality in dark and bright areas.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Richard R. Heusdens, Marcel M. Breeuwer, and R. Klein Gunnewiek "Adaptive quantization in overlapped transform coding of medical x-ray images", Proc. SPIE 2431, Medical Imaging 1995: Image Display, (27 April 1995); https://doi.org/10.1117/12.207619
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Cited by 1 scholarly publication.
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KEYWORDS
Quantization

X-ray imaging

X-rays

Image compression

Image quality

Image enhancement

Data compression

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