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Communication Systems GroupICIP Award 2014

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Top 10% Paper Award @ ICIP 2014

Lupe

We are delighted to announce that our paper "LOSSY IMAGE CODING IN THE PIXEL DOMAIN USING A SPARSE STEERING KERNEL SYNTHESIS APPROACH" won the Top 10% Paper Award at the IEEE International Conference on Image Processing, 27.10.2014 - 30.10.2014. Congratulations to Ruben Verhack and the co-authors.

LOSSY IMAGE CODING IN THE PIXEL DOMAIN USING A SPARSE STEERING KERNEL SYNTHESIS APPROACH

Kernel regression has been proven successful for image de- noising, deblocking and reconstruction. These techniques lay the foundation for new image coding opportunities. In this pa- per, we introduce a novel compression scheme: Sparse Steer- ing Kernel Synthesis Coding (SSKSC). This pre- and post- processor for JPEG performs non-uniform sampling based on the smoothness of an image, and reconstructs the miss- ing pixels using adaptive kernel regression. At the same time, the kernel regression reduces the blocking artifacts from the JPEG coding. Crucial to this technique is that non-uniform sampling is performed while maintaining only a small over- head for signalization. Compared to JPEG, SSKSC achieves a compression gain for low bits-per-pixel regions of 50% or more for PSNR and SSIM. A PSNR gain is typically in the 0.0 - 0.5 bpp range, and an SSIM gain can mostly be achieved in the 0.0 - 1.0 bpp range.

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