Analysis of Medical Image De-Noising Using DWT and UDWT in Presence of Different Noises |
Author(s): |
| JAGDEEP KAUR , GNIT,MULLANA; Ruchika Manchanda, GNIT,MULLANA |
Keywords: |
| DWT, Medical Image De-Noising, UDWT |
Abstract |
|
The progress in computerized automatic systems are all possible due to the image processing. The computer assisted medical image reconstruction and other associated analysis in medical diagnosis are only possible due to image processing. Image processing includes image enhancement, segmentation and restoration. The field of medical image processing is not new still research is going on to find new and more efficient ways of imaging. The area of health information such as medical imaging are more unique, medical images requires more understanding of images, techniques and also higher resolution images are processed than ordinary texture images. The most important part is to ensure the reliability of image processing technique for clinical applications. In this paper two methods in wavelet domain DWT and UDWT are analyzed to check the de-noising efficiency of these two methods in presence of different noises on different types of medical imagesteristics. |
Other Details |
|
Paper ID: IJSRDV4I30969 Published in: Volume : 4, Issue : 3 Publication Date: 01/06/2016 Page(s): 1184-1186 |
Article Preview |
|
|
|
|
