Demosaicing of images obtained from single-chip imaging sensors in YUV color space
Pattern Recognition Letters
Layered image resizing in compression domain
Image Communication
Speech compression with masked modulated lapped transform and SPIHT algorithm
ISCGAV'05 Proceedings of the 5th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
An improved method of speech compression using warped LPC and MLT-SPIHT algorithm
SSIP'06 Proceedings of the 6th WSEAS International Conference on Signal, Speech and Image Processing
An Adaptive Image Resizing Algorithm in DCT Domain
IEICE - Transactions on Information and Systems
Manipulating lossless video in the compressed domain
MM '09 Proceedings of the 17th ACM international conference on Multimedia
An integrated approach for downscaling MPEG video
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Image retargeting using controlled shrinkage
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
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Resizing of digital images is needed in various applications, such as transmission of images over communication channels varying widely in their bandwidths, display at different resolutions depending on the resolution of a display device, etc. In this work, we propose a modification of a recently proposed elegant image resizing algorithm by Dugad and Ahuja (2001). We have also extended their approach and our modified versions to color images and studied their performance at different levels of compression for an image. Our proposed modified algorithms, in general, perform better than the earlier method in most cases. Though there is a marginal increase in the computation required in image-halving, the computation overhead of the proposed modification is higher compared to the Dugad-Ahuja algorithm in the case of doubling the images