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Publication Type : Conference Paper
Publisher : 20th International Conference on Pattern Recognition
Source : 2010 20th International Conference on Pattern Recognition (2010)
Keywords : Dct coefficients, Discrete cosine transforms, Image coding, Image edge detection, image enlargement, image retargeting, JPEG-compressed image, Pixel, Shape, Strips, Transform coding
Campus : Coimbatore
School : School of Engineering
Department : Electrical and Electronics
Year : 2010
Abstract : A simple algorithm for image retargeting in the compressed domain is proposed. Most existing retargeting algorithms work directly in the spatial domain of the raw image. Here, we work on the DCT coefficients of a JPEG-compressed image to generate a gradient map that serves as an importance map to help identify those parts in the image that need to be retained during the retargeting process. Each 8 × 8 block of DCT coefficients is scaled based on the least importance value. Retargeting can be done both in the horizontal and vertical directions with the same framework. We also illustrate image enlargement using the same method. Experimental results show that the proposed algorithm produces less distortion in the retargeted image compared to some other algorithms reported recently.
Cite this Research Publication : Dr. Oruganti Venkata Ramana Murthy, Muthuswamy, K., Rajan, D., and Tien, C. L., “Image Retargeting in Compressed Domain”, in 2010 20th International Conference on Pattern Recognition, 2010.