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Journal of Electronic Imaging

Video de-interlacing algorithm based on motion adaptive spatial-temporal technique
Author(s): Shih-Chang Hsia; Ming-Kun Cheng
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Paper Abstract

Television (TV) systems use an interlaced scanning method because transmission bandwidth is limited. Although technological developments can solve the problem of bandwidth, the interlaced scanning approach is still used in video broadcasting due to the high cost of updating equipment. However, the current LCD displays employ progressive scanning screens. The de-interlacing technique that converts the interlaced signal to a progressive signal is required for a TV receiver to create the display. In this study, adaptive spatial and temporal processing is proposed in implementing a high-performance de-interlace algorithm. First, the spatial de-interlace method is proposed for the conditional interpolation using edge detection to improve the quality. Then the motion adaptive de-interlace technique is proposed based on motion detection with multifield references. With this method, we can differentiate between the moving states of the current field using forward or backward prediction. Then the missing lines can be interpolated based on motion features from the adaptation of spatial and temporal pixels. Results demonstrate that the proposed algorithm can achieve a better tradeoff between complexity and performance compared with the competing methods.

Paper Details

Date Published: 25 September 2013
PDF: 9 pages
J. Electron. Imaging. 22(3) 033032 doi: 10.1117/1.JEI.22.3.033032
Published in: Journal of Electronic Imaging Volume 22, Issue 3
Show Author Affiliations
Shih-Chang Hsia, National Yunlin Univ. of Science and Technology (Taiwan)
Ming-Kun Cheng, National Kaohsiung First Univ. of Science and Technology (Taiwan)


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