Image Fusion using Improved Contourlet Transform Technique
Nupur Singh1, Pinky Tanwar2
1Nupur Singh, Department of Computer Science & Engg., JMIT, Radaur, Kurukshetra University, India.
2Pinky Tanwar, Department of Computer Science & Engg, JMIT, Radaur, Kurukshetra University, India.
Manuscript received on 18 June 2012 | Revised Manuscript received on 25 June 2012 | Manuscript published on 30 June 2012 | PP: 131-136 | Volume-1 Issue-2, June 2012 | Retrieval Number: B0231051212/2012©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Image fusion is the process by which two or more images are combined into a single image retaining the important features from each of the original images. The fusion of images is often required for images acquired from different instrument modalities or capture techniques of the same scene or objects .Several approaches to image fusion can be distinguished, depending on whether the images are fused. The purpose of image fusion is to combine information from several different source images to one image, which becomes reliable and much easier to be comprehended by people (Youcef and Amrane,2003). Image fusion can be broadly defined as the process of combing multiple input images or some of their features into a single image without the introduction of distortion or loss of information. The objective of image fusion is to combine complementary as well as redundant information from multiple images to create a fused image output. Therefore, the new image generated should contain a more accurate description of the scene than any of the individual source image and is more suitable for human visual and machine perception or further image processing and analysis tasks.
Keywords: LFS, HFS, ICNT, CNT, ALM.
Scope of the Article: Image Processing