Alessandra Martins Coelho, Joaquim Teixeira de Assis, Vania Vieira Estrela, Vania Vieira Estrela, Vania Vieira Estrela, Vania Vieira Estrela, Joaquim Teixeira de Assis, Vânia Estrela, Joaquim Teixeira de Assis, Alessandra Martins Coelho, Alessandra Martins Coelho. Error concealment by means of clustered blockwise PCA. In Picture Coding Symposium, 2009. PCS 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. Realistic communication channels are not error free. Since the signals transmitted on real-world channels are highly compressed, regardless 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. Some experiments have been performed with the two proposed algorithms and they are shown.