Error concealment by means of clustered blockwise PCA

Alessandra Martins Coelho, Joaquim Teixeira de Assis, Vania Vieira Estrela. Error concealment by means of clustered blockwise PCA. In 2009 Picture Coding Symposium, PCS 2009, Chicago, IL, USA, May 6-8, 2009. pages 1-4, IEEE, 2009. [doi]


This paper analyzes two variants of Principal Component Analysis (PCA) for error-concealment: blockwise PCA and clustered blockwise PCA. They permit reliable and timely delivery of image and video data over the Internet. In block transform coding, the spatial redundancies inside blocks are removed, and the energy is compacted into a small number of coefficients after the transformation. Realistic communication channels are not error free, although the loss mechanism may vary widely from media to media. Data corruption may be caused by network congestion, thermal noise, switch noise, signal fade, bit-errors in noisy channels, cell loss in packet networks, etc.. Since the signals transmitted on real-world channels are highly compressed, independent of cause, the quality of images reconstructed from any corrupted data can be very unsatisfactory. Error concealment is intended to ameliorate the impact of channel impairments by utilizing a priori information about typical images in conjunction with available picture redundancy to provide subjectively acceptable renditions of affected picture regions.