The easy block Hadamard transform: A new adaptive directional Hadamard transform for sparse image representation

In order to get an efficient image representation, we introduce a new locally adaptive Hadamard transform, called Easy Block Hadamard Transform (EBHT). EBHT is a type of directional Hadamard transform, which can be adapted to the image geometry in each block. Firstly, the image is divided into eight...

Full description

Saved in:
Bibliographic Details
Published in:Optik (Stuttgart) 2014-05, Vol.125 (10), p.2356-2360
Main Authors: Sun, Jian, Ren, Guo-Qiang, Wu, Qin-Zhang
Format: Article
Language:English
Subjects:
Adaptive directional filter
Algorithms
Blocking
Filter banks
Image approximation
Representations
Sparse representation
Transforms
Wavelet transform
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In order to get an efficient image representation, we introduce a new locally adaptive Hadamard transform, called Easy Block Hadamard Transform (EBHT). EBHT is a type of directional Hadamard transform, which can be adapted to the image geometry in each block. Firstly, the image is divided into eight equal-sized squares and the adaptive directional Hadamard filter is employed to get the low-pass data and high-pass data. In the further level of the filter bank algorithm, we just divide the low-pass image into four equal-sized squares. EBHT is very simple, but effective. Numerical results show the excellent efficiency of the EBHT for sparse image representation.
ISSN:0030-4026
1618-1336
DOI:10.1016/j.ijleo.2013.10.068