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Journal of Sensors
Volume 2016, Article ID 5803095, 16 pages
Research Article

Thumbnail with Integrated Blur Based on Edge Width Analysis

School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Engineering Campus, 14300 Nibong Tebal, Penang, Malaysia

Received 11 September 2015; Revised 28 January 2016; Accepted 31 January 2016

Academic Editor: Stephane Evoy

Copyright © 2016 Boon Tatt Koik and Haidi Ibrahim. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Thumbnail image is widely used in electronic devices to help the user to scan through original high resolution images. Hence, it is essential to represent the thumbnail image correspondingly to the original image. A blur image should not appear to be a clear image in thumbnail form, where this situation might mislead the perceptual analysis of user. The main purpose of this research work is to develop a downsampling algorithm to create a thumbnail image which includes blur information. The proposed method has three stages involved to obtain the proposed output thumbnail, which are preliminary processes, blur detection, and lastly image downsampling. For preliminary processes, Sobel first-order derivatives, gradient magnitude, and gradient orientation are determined. In blur detection stage, local maximum, local minimum, and gradient orientation are ultilized to calculate the edge width. The thumbnail image with blur information is generated using the average edge width map as a weightage to integrate blur information. This proposed method has achieved satisfying results and has high potential to be applied as one of the thumbnail generation options for photo viewing.