Single Digital Image Multi-focusing Using Point to Point Blur Model Based Depth Estimation
Praveen S S1, Aparna P R2
1Praveen S S, PG Scholar, Department of Electronics and Communication, SCT College of Engineering, Trivandrum (Kerala), India.
2Aparna P R, Assistant Professor, Department of Electronics and Communication, SCT College of Engineering, Trivandrum (Kerala), India.
Manuscript received on 15 October 2015 | Revised Manuscript received on 25 October 2015 | Manuscript Published on 30 October 2015 | PP: 77-81 | Volume-5 Issue-1, October 2015 | Retrieval Number: A4301105115/15©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: The proposed paper focuses on Multi-focusing, a technique that restores all-focused images from defocused ones and generates images focused at different depths. The method proposed in the paper can be applied to images taken with an ordinary camera and does not require any specialized hardware. The method deviates from the existing de-convolution process for obtaining multi-focused images and highlights procuring a focused image by using only a single image. Blur map estimation is the core of the proposed method. Initially, a rough blur map is obtained which gives the blur amount at edge locations and by propagating the blur amount at edge locations to the entire image, the full blur map of the scene can be recovered. In order to produce photographs at different depths, a depth map is required. Since the amount of blur is proportional to the distance from the plane of focus, the blur map can be used as a cue for depth. The depth map is calculated using the blur map and the camera parameter information embedded in the defocused image. Using the depth map, multi-focused images can be obtained.
Keywords: Multi-focusing, Depth Estimation, Blur Estimation
Scope of the Article: Image Processing