A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
The JPEG still picture compression standard
Communications of the ACM - Special issue on digital multimedia systems
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Fast texture synthesis using tree-structured vector quantization
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
An Image Coding and Reconstruction Scheme for Mobile Computing
IDMS '98 Proceedings of the 5th International Workshop on Interactive Distributed Multimedia Systems and Telecommunication Services
Texture Synthesis by Non-Parametric Sampling
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Reconstruction of baseline JPEG coded images in error prone environments
IEEE Transactions on Image Processing
Filling-in by joint interpolation of vector fields and gray levels
IEEE Transactions on Image Processing
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In wireless scenarios, the image is transmitted over the wireless channel block by block. Due to severe fading, we may lose an entire block, even several consecutive blocks of an image. We aim to reconstruct the lost data using correlation between the lost block and its neighbors. The basic idea is to first automatically classify the block as textured or structured (containing edges), and then fill-in the missing block with information propagated from the surrounding pixels. If the lost block contained structure, it is reconstructed using an image inpainting algorithm, while texture synthesis is used for the textured blocks. We also combine this approach with JPEG compression itself, where the encoder voluntarily skips blocks, and these are reconstructed at the decoder in the same fashion as in the wireless scenario. The switch between the two schemes is done in a fully automatic fashion based on the surrounding available blocks. The performance of this method is tested for various images and combinations of lost blocks.