Paper
1 June 1971 Radiological Imagery Enhancement
N. C. Chang
Author Affiliations +
Abstract
Radiological images constitute an important source of diagnostic information in medical practice. The radiological images presently available to the medical profession generally suffer from low contrast and poor resolution. Many factors contribute to the poor image quality. Some of them are inherent in the nature of the object and the basic radiological imaging process and some of them are due to imperfections or degradations of the system. In the past, little could be done in the way of restoring or enhancing the image once it had been recorded. Now, recently developed techniques allow the image to be made more intelligible to the human observer by correction or compensation of the degradations which it has undergone. Based on the knowledge of some identifiable characteristics of degrading influences and some known characteristics of the object, these techniques perform a sophisticated mathematical operation on a recorded image to undo the effects of whatever degradations may be present and restore, as nearly as possible, the image which would have been recorded in the absence of degradation. They correct various geometrical, photometric and spatial frequency distortions. Sometimes, even with a perfectly recorded or restored image the information content cannot be fully extracted or retrieved because of the limitations of human vision. Image processing techniques will allow the image to be purposely distorted in frequency domain and/or gray levels to suppress background, to emphasize some special features, etc.
© (1971) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
N. C. Chang "Radiological Imagery Enhancement", Proc. SPIE 0026, Quantitative Imagery in the Biomedical Sciences I, (1 June 1971); https://doi.org/10.1117/12.975330
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Image processing

Optical filters

Optical transfer functions

Photography

Fourier transforms

Image enhancement

X-rays

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