期刊名称:International Journal of Computer Science and Information Technologies
电子版ISSN:0975-9646
出版年度:2013
卷号:4
期号:6
页码:835-838
出版社:TechScience Publications
摘要:Due to the low frequency nature of satellite image, it may appeared as blurred image. To improve the frequency of those images, image Resolution techniques are used. This is used in a huge number of applications such as remote sensing, medical imaging with important challenges such as reduction of aliasing, ringing, distortions, blurring, artifacts, etc. Enhancing the resolution of an image includes improving the number of pixels available to represent the details of image. This paper analyses the performance of various image resolution techniques for satellite images. The techniques are compared based on Mean Squared Error and Peak Signal to Noise Ratio
关键词:Image Resolution; Discrete Wavelet;Transform; Remote sensing; Multi wavelet Transform;Interpolation.