Superresolution reconstruction of images by weighted wavelet bicubic interpolation search algorithm

You-shan Qu; Chuan-ping Bian; Ying-cai Li

doi:10.1117/12.725362

11 January 2007 Superresolution reconstruction of images by weighted wavelet bicubic interpolation search algorithm

You-shan Qu, Chuan-ping Bian, Ying-cai Li

Proceedings Volume 6279, 27th International Congress on High-Speed Photography and Photonics; 62793M (2007) https://doi.org/10.1117/12.725362
Event: 27th International congress on High-Speed Photography and Photonics, 2006, Xi'an, China

Abstract

The variable relationship between the threshold of high-frequency extrapolation and the entropy of its correspondent reconstructed image in the Wavelet Bicubic Interpolation Algorithm is analyzed. The information entropy is used as a cost function and a Maximal Entropy Wavelet Bicubic Interpolation Search Algorithm is proposed. This algorithm can automatically search an extrapolation threshold to reconstruct an image with maximal entropy. Although the detail information of the reconstructed maximal entropy image is larger than its original image, it may introduce a lot of uncertain and incorrect information. In order to remedy this shortcoming of the proposed algorithm, a new cost function based on the old one is established. The new cost function can not only remedy the shortcoming of the entropy function as a cost function, but also a weight introduced in the new cost function can be adjusted to reconstruct different superresolution images to satisfy different practical requirements. Thus a Weighted Wavelet Bicubic Interpolation Search Algorithm is established. The experiment results prove that if the distribution of the processed images is close to the maximum likelihood distribution, a large weight will be selected to reconstruct a relative better superresolution image with better details, and if the distribution of the processed images is far from the maximum likelihood distribution, a little weight will be selected to reconstruct a relative better superresolution image with better visual effect. Therefore, the weight in the new algorithm can be selected from the requirements to satisfy different practical cases.

Citation Download Citation

You-shan Qu, Chuan-ping Bian, and Ying-cai Li "Superresolution reconstruction of images by weighted wavelet bicubic interpolation search algorithm", Proc. SPIE 6279, 27th International Congress on High-Speed Photography and Photonics, 62793M (11 January 2007); https://doi.org/10.1117/12.725362

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

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Wavelets

Reconstruction algorithms

Super resolution

Image processing

Remote sensing

Image information entropy

Wavelet transforms

Show All Keywords

Keywords/Phrases

Search In:

Publication Years