Edge detection, color quantization, segmentation, texture removal, and noise reduction of color image using quaternion iterative filtering

Yu-Zhe Hsiao; Soo-Chang Pei

doi:10.1117/1.JEI.23.4.043001

3 July 2014 Edge detection, color quantization, segmentation, texture removal, and noise reduction of color image using quaternion iterative filtering

Yu-Zhe Hsiao, Soo-Chang Pei

Author Affiliations +

Journal of Electronic Imaging, Vol. 23, Issue 4, 043001 (July 2014). https://doi.org/10.1117/1.JEI.23.4.043001

Abstract

Empirical mode decomposition (EMD) is a simple, local, adaptive, and efficient method for nonlinear and nonstationary signal analysis. However, for dealing with multidimensional signals, EMD and its variants such as bidimensional EMD (BEMD) and multidimensional EMD (MEMD) are very slow due to the needs of a large amount of envelope interpolations. Recently, a method called iterative filtering has been proposed. This filtering-based method is not as precise as EMD but its processing speed is very fast and can achieve comparable results as EMD does in many image and signal processing applications. We combine quaternion algebra and iterative filtering to achieve the edge detection, color quantization, segmentation, texture removal, and noise reduction task of color images. We can obtain similar results by using quaternion combined with EMD; however, as mentioned before, EMD is slow and cumbersome. Therefore, we propose to use quaternion iterative filtering as an alternative method for quaternion EMD (QEMD). The edge of color images can be detected by using intrinsic mode functions (IMFs) and the color quantization results can be obtained from residual image. The noise reduction algorithm of our method can be used to deal with Gaussian, salt-and-pepper, speckle noise, etc. The peak signal-to-noise ratio results are satisfactory and the processing speed is also very fast. Since textures in a color image are high-frequency components, we also can use quaternion iterative filtering to decompose a color image into many high- and low-frequency IMFs and remove textures by eliminating high-frequency IMFs.

Citation Download Citation

Yu-Zhe Hsiao and Soo-Chang Pei "Edge detection, color quantization, segmentation, texture removal, and noise reduction of color image using quaternion iterative filtering," Journal of Electronic Imaging 23(4), 043001 (3 July 2014). https://doi.org/10.1117/1.JEI.23.4.043001

Published: 3 July 2014

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE