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http://dx.doi.org/10.5573/ieie.2015.52.10.097

Image Quality Enhancement for Chest X-ray images  

Park, So Yeon (Department of Electronic Engineering, Inha University)
Song, Byung Cheol (Department of Electronic Engineering, Inha University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.52, no.10, 2015 , pp. 97-107 More about this Journal
Abstract
The initial X-ray images obtained from a digital X-ray machine have a wide data range and uneven brightness level than normal images. In particular, in Chest X-ray images, it is necessary to improve naturally all of the parts such as ribs, spine, tissue, etc. These X-ray images can not be improved enough from conventional image quality enhancement algorithms because their characteristics are different from ordinary images'. This paper proposes to eliminate unnecessary background from an input image and expand the histogram range of the image. Then, we adjust the weight per frequency band of the image for improvement of contrast and sharpness. Finally, jointly taking the advantages of global contrast enhancement and local contrast enhancement methods we obtain an improved X-ray image suitable for effective diagnosis in comparison with the existing methods. Experimental results show quantitatively that the proposed algorithm provides better X-ray images in terms of the discrete entropy and saturation than the previous works.
Keywords
X-ray image; contrast enhancement; detail enhancement; multi-scale; image fusion;
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