LOG GABOR WAVELET — CONSISTENT WITH HUMAN VISUAL SYSTEM CHARACTERISTICS

2004 ◽  
Author(s):  
ZHITAO XIAO ◽  
ZHENGXIN HOU ◽  
YINGCHUN GUO
Keyword(s):  
Visual System ◽  
Human Visual System ◽  
Gabor Wavelet ◽  
Log Gabor Wavelet ◽  
System Characteristics ◽  
Log Gabor

Content Based Image Retrieval Based on Log Gabor Wavelet Transform

2011 ◽  
Vol 403-408 ◽  
pp. 871-878 ◽  
Author(s):  
Megha Agarwal ◽  
Rudra Prakash Maheshwari
Keyword(s):  
Wavelet Transform ◽  
Image Retrieval ◽  
Retrieval System ◽  
Gabor Wavelet ◽  
Content Based Image Retrieval ◽  
Natural Image ◽  
Feature Descriptor ◽  
Gabor Wavelet Transform ◽  
Log Gabor Wavelet ◽  
Log Gabor

This paper proposes a novel approach of content based image retrieval based on Log Gabor Wavelet Transform (LGWT). It is observed that LGWT better represents an image compared to Gabor Wavelet Transform (GWT). Experimental results illustrate the comparative analysis of proposed retrieval system and the retrieval system based on GWT feature descriptor. It is verified that LGWT based retrieval system improves the average precision and average recall (55.46% and 32.03% respectively) from GWT based retrieval system (50.61% and 31.63% respectively). All the experiments are performed on Corel 1000 natural image database.

Mean shift based log-Gabor wavelet image coding

2007 ◽  
Vol 8 (4) ◽  
pp. 620-624
Author(s):  
Ji-liang Li ◽  
Xiang-zhong Fang ◽  
Jun Hou
Keyword(s):  
Image Coding ◽  
Mean Shift ◽  
Gabor Wavelet ◽  
Wavelet Image Coding ◽  
Log Gabor Wavelet ◽  
Wavelet Image ◽  
Log Gabor

Image Displacement Detection under Low Illumination Using Joint Transform Correlator with Wavelet Denoising

2011 ◽  
Vol 128-129 ◽  
pp. 602-606
Author(s):  
Qi Li ◽  
Peng Ge ◽  
Hua Jun Feng ◽  
Zhi Hai Xu
Keyword(s):  
Detection Method ◽  
Wavelet Denoising ◽  
Gabor Wavelet ◽  
Joint Transform Correlator ◽  
Target Image ◽  
Low Contrast ◽  
Image Displacement ◽  
Low Illumination ◽  
Log Gabor Wavelet ◽  
Log Gabor

Since joint transform correlator (JTC) cannot directly detect the displacement between reference and target images without adequate exposure, an image displacement detection method using JTC based on log-Gabor wavelet denoising is proposed. The method uses a log-Gabor wavelet transform to denoise the reference and the target image obtained in the condition lack of enough exposure, preserving the phase information of them. Results show that the method can successfully accomplish the motion detection, RMSE of displacement measurement using JTC with wavelet denoising could be within 0.3 pixels under 1/80 of normal exposure. The method improved the detection ability of JTC in the condition of low illumination and low contrast, and has great application prospect under these circumstances.

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