dc.contributor.author | Htwe, Ah Nge | |
dc.contributor.author | Nge, Mi Mi | |
dc.date.accessioned | 2019-07-16T05:24:46Z | |
dc.date.available | 2019-07-16T05:24:46Z | |
dc.date.issued | 2009-10 | |
dc.identifier.uri | http://onlineresource.ucsy.edu.mm/handle/123456789/909 | |
dc.description.abstract | Image zooming is a vital role in image processing. The zoomed images can be distorted because of blocky or jaggy effects. Sometimes, there is a problem to define the content of image or photo. The distorted image is needed to restore its fine detailed information. Our main idea is to restore or sharp blurred images. Many iterpolation methods have been developed in the last decade. We proposed an interpolation framework based on iterative linear interpolation method that can interpolate and produce good image with fine detailed information. Although linear interpolation use the same value for the whole image pixel values, our experiment show good and useful result with color image. This approach can assist in medical image analysis and photo editing process with efficient zooming method. | |
dc.language.iso | en | en_US |
dc.publisher | International Conference on e-Business (iNCEB) | en_US |
dc.subject | Image zooming | en_US |
dc.subject | image processing | en_US |
dc.subject | linear interpolation | en_US |
dc.title | Image Zooming with Linear Interpolation | en_US |
dc.type | Article | en_US |