文章基本信息

标题：Visual Quality Improvement of Medical Images using Pixel Reconstruction Followed by Gabor Enhancement Technique
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作者：Pooja Gupta ; Kuldip Pahwa
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2014
卷号：7
期号：6
页码：297-302
DOI：10.14257/ijsip.2014.7.6.25
出版社：SERSC
摘要：Today is an era of digital imaging. This can be viewed either in the field of photography or in the field of medical imaging. Digital imaging has improved the performance of picture quality. Detailed information can be recovered very quickly from any part of an image and this feature has become very useful in every field of imaging. This improvement in the field of medical imaging has given life to so many patients as diagnosis of disease has become very fast and easy. But many a times the image quality is not upto the mark, due to this reason; the doctors are not able to diagnose the disease. So this paper proposes a noval approach for improvement in quality of medical images using pixel reconstruction followed by Gabor filter enhancement technique. The experimental results are verified as improvement in PSNR of hexagonal pixel images as compared with square pixel images. The results show a large improvement in quality of digital imaging
关键词：digital imaging; image enhancement; medical imaging; Gabor filter