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Video restoration using multiple 'C40sTI has published a new application report based on the winning entry from the 1995 US $100,000 TI DSP Solutions Challenge design contest. Showbhik Kalra, Dilip Krishnan, and Dr. Chong Man Nang of Nanyang Technological University in Singapore developed a film restoration system which used an array of 'C40 DSPs to restore damaged frames. Video Restoration on a Multiple TMS320C40 System describes a parallel video restoration system that restores old motion picture archives. A Gaussian Weighted, Bi-directional 3D Auto-Regressive (B3D-AR) algorithm is used to alleviate the presence of noise in the old archives. Common forms of degradation found in such archives are "dirt and sparkle" and scratches. The distortion is caused either by the accumulation of dirt or by the film material being abraded. While most of the existing image restoration algorithms will blur edges of moving objects in the vicinity of occluded and uncovered image regions, this algorithm is able to suppress mixed noise processes and recover lost signals in both the covered and uncovered regions in an image sequence. This video restoration system is tested on the artificially corrupted image sequences and naturally degraded video (full PAL image size). Samples of the original and corresponding restored image sequence are included in the full report. The B3D-AR algorithm is parallel implemented on an array of 15 TMS320C40 DSPs connected in a tree configuration. Two different parallel algorithms are implemented in which a close to linear speed-up is achieved by means of a load-balanced parallel algorithm. For other TI application notes, see the TI SC application reports page. |