Transform domain enhanced resizing for a discrete-cosine-transform-based codec

Gun Shik Shin; Moon Gi Kang

doi:10.1117/1.1615991

1 November 2003 Transform domain enhanced resizing for a discrete-cosine-transform-based codec

Gun Shik Shin, Moon Gi Kang

Optical Engineering, Vol. 42, Issue 11, (November 2003). https://doi.org/10.1117/1.1615991

The ability to perform the same operations in the transform domain as in the spatial domain is important for efficient image transmission through a channel. We perform image resizing, which includes magnifying and reducing the size, in the discrete cosine transform (DCT) domain and the effects of the transform domain approach are analyzed in the corresponding spatial domain. Based on this analysis, the two resizing algorithms are proposed. The first one further compresses the images encoded by the compression standard by reducing the size before compression, and the other reduces the loss of information while maintaining the conventional compression rate. Because of its compatibility with standard codec, these algorithms can be easily embedded in JPEG and MPEG codecs, which are widely used for the purpose of image storage and transmission. Experimental results show a reduction of about half the bit size with similar image quality and about a 2- or 3-dB quality improvements in the similar compression rate.

©(2003) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Gun Shik Shin and Moon Gi Kang "Transform domain enhanced resizing for a discrete-cosine-transform-based codec," Optical Engineering 42(11), (1 November 2003). https://doi.org/10.1117/1.1615991

Published: 1 November 2003

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