Title
Arbitrary-ratio image resizing using fast DCT of composite length for DCT-based transcoder
Abstract
We propose a fast arbitrary-ratio image resizing method for transcoding of the compressed images. The downsizing process in the discrete cosine transform (DCT) domain can be implemented by truncating high-frequency coefficients, whereas the upsizing process is implemented in the DCT domain by padding zero coefficients to the high-frequency part. The proposed method combines a fast inverse and forward DCT of composite length for arbitrary-ratio upsizing or downsizing. According to the resizing ratio, truncating the high-frequency coefficients and padding zeros are appropriately considered by combining the inverse DCT and forward DCT. The proposed method shows a good peak signal-to-noise ratio and less computational complexity compared with the spatial-domain and previous DCT-domain image resizing methods.
Year
DOI
Venue
2006
10.1109/TIP.2005.863117
IEEE Transactions on Image Processing
Keywords
Field
DocType
high frequency,transcoding,data compression,discrete cosine transform,peak signal to noise ratio,computational complexity,image reconstruction
Iterative reconstruction,Transcoding,Inverse,Computer vision,Computer science,Discrete cosine transform,Image processing,Artificial intelligence,Data compression,Padding,Computational complexity theory
Journal
Volume
Issue
ISSN
15
2
1057-7149
Citations 
PageRank 
References 
15
0.81
9
Authors
2
Name
Order
Citations
PageRank
Young Seo Park13520.56
Hyun Wook Park249554.79