Paper Info
Title
A content adaptive de-interlacing algorithm [video signal processing applications]
Abstract
This paper proposed a content adaptive de-interlacing algorithm (CADI) for conversion of interlaced video to progressive video. The proposed CADI algorithm interpolates the missing field based on the local image characteristics (smooth, horizontal edge, vertical edge and texture) and chooses the most appropriate de-interlacing algorithm. In addition, a novel vector matching algorithm is introduced for interpolating missing pixels in the horizontal edge region. It has three features to increase the accuracy of estimating edge directions: an adaptive search range for different edge orientations, combining consecutive pixels for directional correlation estimation within the same edge region and consistency checking along the candidate directions. Experimental results show that the proposed CADI algorithm outperforms existing algorithms in various video sequences, and produces high quality de-interlaced frames.
Year
DOI
Venue
2005
10.1109/ISCAS.2005.1465737
ISCAS (5)
Keywords
Field
DocType
candidate directions consistency checking,video signal processing,interpolation,consecutive pixel combining,vector matching,texture detector,edge orientation adaptive search range,progressive video,interlaced video,missing pixel interpolation,edge detection,video format conversion,horizontal edge detector,vertical edge detection,directional correlation estimation,cadi,image texture,missing field interpolation,correlation methods,content adaptive de-interlacing algorithm,gold,internet,tv,bandwidth,pixel
Interlacing,Computer science,Edge detection,Interpolation,Electronic engineering,Artificial intelligence,Progressive scan,Interlaced video,Computer vision,Image texture,Algorithm,Pixel,Blossom algorithm
Conference
ISBN
Citations 
PageRank 
0-7803-8834-8
3
0.62
References 
Authors
3
4
Name
Order
Citations
PageRank
Vincent K. N. Lau124333.17
Oscar C. Au21592176.54
Wing-san Chau3163.24
Tai-wai Chan4223.62