Abstract. The use of adapted methods for processing digital images in the presence
of atmospheric formations, mainly hydrometeors, is proposed for processing
medical images in order to increase the discernibility of small details. These
are methods to increase the contrast (converting the dynamic range of
brightness) images based on the statistical properties of image brightness,
such as optimized Dark Channel Prior (DCP), modified CLAHE (Contrast Limited
Adaptive Histogram Equalization) and their combination. The results of
processing on examples are given: X-ray picture of hip fracture, image of MRI
of cardiovascular system with contrast, photos of polyp from the database of
colonoscopic studies. The problems associated with color rendition are of great
importance in gastro and colonoscopy, we deliberately left outside the
framework of this article. Since for correct operation in the case of colour
images, it is necessary to know the colour of the backlighting of a particular
device and the features of its design. In addition, we declare the possibility
of promising the use of other methodologies (for example, in the spectral
domain) for the processing of medical images, both to the species indicated in
this article, and completely different. The presented results indicate a
significant improvement in the quality of medical imaging, which can serve as
an auxiliary tool for medical workers when specifying the diagnosis. The
expediency of using various treatment methods for diagnosis, in accordance with
specific goals and objectives, should be evaluated by professionals in their
fields of medicine, whom we invite to cooperate. The expediency of using
various treatment methods for diagnosis, in accordance with specific goals and
objectives, should be evaluated by professionals in their fields of medicine, who
we are glad to invite for cooperation.
Key words: processing of medical images, increasing the discernibility of small
details, diagnosis.
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