Foreground Extraction in the Compressed Imaging Domain using Saliency detection Technique
Radhika P. Fuke1, M V. Saroder2
1Ku. Radhika P. Fuke, Department of Information Technology, Amravati, University, Sipna C.O.E.T, Amravati, India.
2Prof. M. V. Sarode, Computer Science and Engg. Department, Amravati University, Sipna C.O.E.T, Amravati, India.
Manuscript received on May 11, 2013. | Revised Manuscript received on May 15, 2013. | Manuscript published on May 25, 2013. | PP: 66-68 | Volume-1 Issue-7, May 2013. | Retrieval Number: F0279041613/2013©BEIESP
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© The Authors. Published By: 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: Salient region detection in images is very useful for image processing applications like image segmentation, object detection and recognition. In this paper, an improved approach to detect salient region is presented Using saliency detection technique. Existing saliency detection models are built in the uncompressed domain. Since most images over Internet are typically stored in the compressed domain such as joint photographic experts group,a novel saliency detection model in the compressed domain in this paper. The intensity, color, and texture features of the image are extracted . Detection of irregular visual patterns in images and in video sequences is useful for a variety of tasks. Detecting suspicious behaviors or unusual objects is important for surveillance and monitoring. Identifying spatial saliency in images is useful for quality control and automatic inspection.
Keywords: Compressed domain, image retargeting, joint photographic experts group, saliency detection, denoising.