Improving resolution by image registration
CVGIP: Graphical Models and Image Processing
Digital Video: An introduction to MPEG-2
Digital Video: An introduction to MPEG-2
Super-Resolution from Image Sequences - A Review
MWSCAS '98 Proceedings of the 1998 Midwest Symposium on Systems and Circuits
A Content-Adaptive Up-Sampling Technique for Image Resolution Enhancement
IIH-MSP '07 Proceedings of the Third International Conference on International Information Hiding and Multimedia Signal Processing (IIH-MSP 2007) - Volume 01
IEEE Transactions on Image Processing
Efficient DCT-domain blind measurement and reduction of blocking artifacts
IEEE Transactions on Circuits and Systems for Video Technology
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A block-based upsampling method for images and videos is proposed in this work. Block classification is first conducted in the DCT domain to categorize 8x8 image blocks into several types: smooth areas, edges and others. For the plain background and smooth surfaces, simple patches are used to enlarge the image size without degrading the resultant visual quality. Since human eyes are more sensitive to edges, a more sophisticated technique is applied to edge blocks. They are approximated by a facet model so that the image data at subpixel positions can be generated accordingly. By taking temporal information into account, this concept can further be applied to videos. To upsample an image block in the current frame, we may borrow the upsampled version of the corresponding block in the reference frame if the residual is tolerable. Experimental results are shown to demonstrate the great reduction of computational complexity while the output visual quality still remains satisfactory.