The amount setting, on the other hand, controls the intensity of the edges (how much dark or light it will be). The radius setting is related to the blur intensity (as explained before) because it defines the size of the edges. Sharpened image = original image + amount * (unsharped mask)
This is what we call unsharped mask.įinally, the enhanced image is collected after applying the following formula: If we subtract the blurred image from the original image, we will obtain only the edges created by the blur.
The first step of the algorithm is to copy the original image and apply a gaussian blur into it (Blur intensity is defined by a setting called Radius). In modern days, the same filter is used as a feature in present's image editing software, like GIMP or Photoshop. The first registry of this technique was made in Germany, during the 30s, in order to get a better resolution for some photos. Unsharp masking is a linear filter that is capable of amplify high-frequencies of an image. X-Ray Images Enhancement - Final Report Unsharp Masking Images Sourceīesides the first image (001.tif), found at the National Sciente Foundation Multimedia Gallery, all the other images used were founded at the National Library of Medicine MedPix, a free open source database with over 59,000 indexed and curated images, organized, reviewed, approved, and curated free of charge for personal use and for local teaching at institutions. and found at the National Sciente Foundation Multimedia Gallery, will be used in this project. Unprocessed images of x-ray films, like this one of a chest, made by Nikola Zivaljevic, M.D. The main objective of this project is to improve the visualization of fractured bones using three image enhancement algorithms: contrast limited adaptive histogram equalization (CLAHE), unsharp masking (UM) and high-frequency emphasis filtering (HEF) After implementing these algorithms, we will discuss about the results and the difficulties found during the development of the project.
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