Performance evaluation of superresolution reconstruction from video

Gulcin Caner; A. Murat Tekalp; Wendi Heinzelman

doi:10.1117/12.476358

7 May 2003 Performance evaluation of superreconstruction from video

Gulcin Caner, A. Murat Tekalp, Wendi Heinzelman

Proceedings Volume 5022, Image and Video Communications and Processing 2003; (2003) https://doi.org/10.1117/12.476358
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

Abstract

Several algorithms have been proposed to enhance the resolution of a reference image from multiple still images or video that may be captured/stored in raw or compressed format. This paper provides a thorough study of how the performance of the projections onto convex sets (POCS) method is affected by camera parameters, quantization of the pixel-values, motion estimation errors, and quantization in the DCT-domain (when compressed data is used). Experimental results are provided to evaluate the practical applicability of super-resolution reconstruction in various scenarios. It has been observed that the quality of the resolution enhancement depends on the quantization of pixel intensity values in the RGB (uncompressed) or YUV (compressed) domains by the video capture device, as well as the accuracy of the estimated motion parameters between successive frames.

Citation Download Citation

Gulcin Caner, A. Murat Tekalp, and Wendi Heinzelman "Performance evaluation of superreconstruction from video", Proc. SPIE 5022, Image and Video Communications and Processing 2003, (7 May 2003); https://doi.org/10.1117/12.476358

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