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Development of edge detection algorithm for blocky compressed image

Sari, Suhaila and Sapuan, Mohammad Idris and Roslan, Hazli and Tukiran, Zarina and Ab Rahman, Tasiransurini and Md Taujuddin, Nik Shahidah Afifi and Yusuf , Siti Idzura (2013) Development of edge detection algorithm for blocky compressed image. In: Prosiding Seminar Kebangsaan Aplikasi Sains dan Matematik 2013 (SKASM 2013) , 29-30 Oktober 2013, Batu Pahat, Johor .


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Nowadays, compressed image is a very useful way to transfer or store data because of its smaller size in comparison to the original image. However, if the compression ratio is high, the produced image may be corrupted by blocky artifacts. In many applications that require only the detection of the image edges, it is difficult to distinguish the edges, fine details and noise. This task is more difficult in compressed image, since the generated blocky artifacts have almost the same properties as the true edges. Therefore, in this study we develop an algorithm that could detect only the edges from a compressed image. For horizontal direction, two variables are calculated for every pixel in the odd-numbered rows of the image. The two variables are the discontinuities in horizontal pixel intensity gradient at the neighbouring pixels, which will be compared with a threshold value. If both values are higher than the threshold value, the corresponding pixel is classified as edge. Detection in vertical direction is performed in the same manner. The detection results for horizontal and vertical directions are generated in two new black and white images, respectively. The generated new images are then combined to produce the final detected image. From our simulation, we found that this detection method has successfidly detected edges without including the blocky artifacts and fine details.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: blocky artifacts; compressed image; edge detection; pixel discontinuities; threshold
Subjects: Q Science > QA Mathematics > QA75 Calculating machines > QA75.5 Electronic computers. Computer science
Divisions: Faculty of Electrical and Electronic Engineering > Department of Computer Engineering
Depositing User: Normajihan Abd. Rahman
Date Deposited: 11 Nov 2013 04:35
Last Modified: 21 Jan 2015 08:18
URI: http://eprints.uthm.edu.my/id/eprint/4520
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