Title
A 2-D orientation-adaptive prediction filter in lifting structures for image coding
Abstract
Lifting-style implementations of wavelets are widely used in image coders. A two-dimensional (2-D) edge adaptive lifting structure, which is similar to Daubechies 5/3 wavelet, is presented. The 2-D prediction filter predicts the value of the next polyphase component according to an edge orientation estimator of the image. Consequently, the prediction domain is allowed to rotate ±45° in regions with diagonal gradient. The gradient estimator is computationally inexpensive with additional costs of only six subtractions per lifting instruction, and no multiplications are required.
Year
DOI
Venue
2006
10.1109/TIP.2005.859369
IEEE Transactions on Image Processing
Keywords
Field
DocType
adaptive filters,image sensor,wavelet transforms,wavelet transform
Diagonal,Computer vision,Polyphase system,Pattern recognition,Image processing,Adaptive filter,Artificial intelligence,Image compression,Mathematics,Wavelet,Estimator,Wavelet transform
Journal
Volume
Issue
ISSN
15
1
1057-7149
Citations 
PageRank 
References 
26
1.86
8
Authors
2
Name
Order
Citations
PageRank
Ömer Nezih Gerek111819.51
A. Enis Çetin2871118.56