Multiresolution-Based Texture Adaptive Algorithm for High-Quality Deinterlacing

Gwo Giun LEE  He-Yuan LIN  Drew Wei-Chi SU  Ming-Jiun WANG  

IEICE TRANSACTIONS on Information and Systems   Vol.E90-D    No.11    pp.1821-1830
Publication Date: 2007/11/01
Online ISSN: 1745-1361
DOI: 10.1093/ietisy/e90-d.11.1821
Print ISSN: 0916-8532
Type of Manuscript: PAPER
Category: Image Processing and Video Processing
deinterlacing,  multiresolution,  texture analysis,  

Full Text: PDF>>
Buy this Article

This paper introduces a texture analysis mechanism utilizing multiresolution technique to reduce false motion detection and hence thoroughly improve the interpolation results for high-quality deinterlacing. Conventional motion-adaptive deinterlacing algorithm selects from inter-field and intra-field interpolations according to motion. Accurate determination of motion information is essential for this purpose. Fine textures, having high local pixel variation, tend to cause false detection of motion. Based on hierarchical wavelet analysis, this algorithm provides much better perceptual visual quality and considerably higher PSNR than other motion adaptive deinterlacers as shown. In addition, a recursive 3-field motion detection algorithm is also proposed to achieve better performance than the traditional 2-field motion detection algorithm with little memory overhead.