Image Enhancement using Guided Image Filter Technique
Aditya Goyal1, Akhilesh Bijalwan2, Pradeep Kumar3, Kuntal Chowdhury4
1Aditya Goyal, Computer Science and Engineering, Uttarakhand Technical University/ Dehradun Institute of Technology / Dehradun, India.
2Pradeep Kumar, Information Security and Management, Uttarakhand Technical University/ Dehradun Institute of Technology / Dehradun, India.
3Akhilesh Bijalwan, Computer Science and Engineering, Uttarakhand Technical University/ Dehradun Institute of Technology / Dehradun, India.
4Mr. Kuntal Chowdhury, Computer Science and Engineering, Uttarakhand Technical University/ Dehradun Institute of Technology / Dehradun, India.
Manuscript received on May 17, 2012. | Revised Manuscript received on June 22, 2012. | Manuscript published on June 30, 2012. | PP: 213-217 | Volume-1 Issue-5, June 2012. | Retrieval Number: E0475061512/2012©BEIESP
Open Access | Ethics and Policies | Cite
© 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: In this paper we study and implement image enhancement aspect of guided image filtering. Principle objective of Image enhancement is to process an image so that result is more suitable than original image for specific application. Digital image enhancement techniques provide a multitude of choices for improving the visual quality of images. Guided image filter is an explicit image filter, derived from a local linear model; it generates the filtering output by considering the content of a guidance image, which can be the input image itself or another different image. Moreover, the guided filter has a fast and non-approximate linear-time algorithm, whose computational complexity is independent of the filtering kernel size. This paper will provide an overview of underlying concepts, along with algorithms commonly used for image enhancement.
Keywords: Digital Image Processing, Explicit image filter, Guided Image Filtering, Image Enhancement, Kernel.