Modified cubic convolution scaler for edge-directed nonuniform data

Sang-Min Kwak; Joo-Hee Moon; Jong-Ki Han

doi:10.1117/1.2789639

1 October 2007 Modified cubic convolution scaler for edge-directed nonuniform data

Sang-Min Kwak, Joo-Hee Moon, Jong-Ki Han

Author Affiliations +

Optical Engineering, Vol. 46, Issue 10, 107001 (October 2007). https://doi.org/10.1117/1.2789639

Abstract

We derive a modified version of the cubic convolution scaler to enlarge or reduce the size of digital images with arbitrary ratio. To enhance the edge information of the scaled image and to obtain a high-quality scaled image, the proposed scaler is applied along the direction of an edge. Since interpolation along the direction of an edge has to process nonuniformly sampled data, the kernel of the cubic convolution scalar is modified to interpolate the data. The proposed scaling scheme can be used to resize pictures in various formats in a transcoding system that transforms a bit stream compressed at one bit rate into one compressed at another bit rate. In many applications, such as transcoders, the resolution conversion is very important for changing the image size while maintaining high quality of the scaled image. We show experimental results that demonstrate the effectiveness of the proposed interpolation method. The proposed scheme provides clearer edges, without artifacts, in the resized image than do conventional schemes. The algorithm exhibits significant improvement in the minimization of information loss when compared with the conventional interpolation algorithms.

©(2007) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Sang-Min Kwak, Joo-Hee Moon, and Jong-Ki Han "Modified cubic convolution scaler for edge-directed nonuniform data," Optical Engineering 46(10), 107001 (1 October 2007). https://doi.org/10.1117/1.2789639

Published: 1 October 2007

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