De-interlacing Algorithm Using Motion Adaptive and Edge-based Analysis - Tapa blanda

Wu, Chih-Huan; Tai, Shen-Chuan

 
9783639016024: De-interlacing Algorithm Using Motion Adaptive and Edge-based Analysis
Tapa blanda
ISBN 10: 3639016025 ISBN 13: 9783639016024
Editorial: VDM Verlag Dr. Mueller e.K., 2008

Sinopsis

Until today, the interlaced scan format is widely used by the TV in­dustry. The interlaced video is an easy way to halve the bandwidth, but exposes well known artifacts like line crawling, edge flicker, and jagged effects. Furthermore, an interlaced field is unsuitable for progressively scanned format used in LCD and plasma displays. De-interlacing is the process to convert interlaced format into progressive format. This work presents a novel edge-based motion adaptive de-interlacing algorithm to promote visual quality of video sequences. An interlaced field is divided and analyzed by utilizing block-based motion detection and edge detection. Different edge interpolation schemes are performed by considering the similarity of nearby edges and previous interpolation direction. The refinement is then utilized by referring to directional, temporal, and spatial information. Experiment results show that the proposed algorithm can promote image quality, especially in horizontal edges. The proposed algorithm also out­performs previous motion adaptive de-interlacing algorithms.This work should be useful to professionals in Image Processing and Consumer Electronics fields.

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Reseña del editor

Until today, the interlaced scan format is widely used by the TV in­dustry. The interlaced video is an easy way to halve the bandwidth, but exposes well known artifacts like line crawling, edge flicker, and jagged effects. Furthermore, an interlaced field is unsuitable for progressively scanned format used in LCD and plasma displays. De-interlacing is the process to convert interlaced format into progressive format. This work presents a novel edge-based motion adaptive de-interlacing algorithm to promote visual quality of video sequences. An interlaced field is divided and analyzed by utilizing block-based motion detection and edge detection. Different edge interpolation schemes are performed by considering the similarity of nearby edges and previous interpolation direction. The refinement is then utilized by referring to directional, temporal, and spatial information. Experiment results show that the proposed algorithm can promote image quality, especially in horizontal edges. The proposed algorithm also out­performs previous motion adaptive de-interlacing algorithms. This work should be useful to professionals in Image Processing and Consumer Electronics fields.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
VDM Verlag Dr. Mueller e.K.
Año de publicación
2008
Idioma
Inglés
ISBN 10 
3639016025
ISBN 13 
9783639016024
Encuadernación
Tapa blanda
Número de páginas
76
Contacto del fabricante
no disponible
Persona responsable
no disponible