Title :
Approach on digital radiographs enhancement based on wavelet transform
Author :
Hou, Yuanyuan ; Zhou, Ping
Author_Institution :
Sch. of Biomed. Eng., Capital Med. Univ., Beijing, China
Abstract :
Digital radiographs play very important role in medical imaging. However, the image quality has weakness with lower contrast and some noises owing to various reasons. So it is necessary to enhance these images to facilitate the postprocessing or diagnosis. In this paper, our method utilized wavelet transform to decompose the image, removed the noise using wavelet threshold method, and modified the high coefficients using nonlinear method and the low coefficient using the unsharp masking method. At last, the enhanced image got through inverse wavelet transform. At the same time, we also analyzed the characteristics of several common wavelet bases. Experiments were carried out on a digital radiograph with some different wavelet bases and some other traditional approaches. The results showed that this method had better enhancing effect than traditional approaches.
Keywords :
diagnostic radiography; image enhancement; image segmentation; medical image processing; wavelet transforms; digital radiographs enhancement; image decomposition; image enhancement; image quality; inverse wavelet transform; medical imaging; nonlinear method; unsharp masking method; wavelet threshold method; Biomedical imaging; Histograms; Noise; Radiography; Wavelet coefficients; Digital radiographs; Image enhancement; Unsharp masking; Wavelet bases; Wavelet transform;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5647229