A fast efficient computation of cubic-spline interpolation in image codec

IEEE Transactions on Signal Processing

Volumn 49, Issue 6, 2001, Pages 1189-1197

  Wang, Lung Jen ^b   Hsieh, Wen Shyong ^b   Truong, Trieu Kien ^a,c   Reed, Irving S ^a,d   Cheng, T C ^a,d  

^a IEEE

^b NATIONAL SUN YAT SEN UNIVERSITY   (Taiwan)

^c I SHOU UNIVERSITY   (Taiwan)

^d University of Southern California   (United States)

Author keywords

CSI; Image coding; Interpolation; JPEG; Wingrad DFT

Indexed keywords

ALGORITHMS; BOUNDARY CONDITIONS; COMPUTATIONAL METHODS; DISCRETE FOURIER TRANSFORMS; IMAGE COMPRESSION; IMAGE QUALITY; IMAGE RECONSTRUCTION; INTERPOLATION;

CUBIC SPLINE INTERPOLATION; WINOGRAD DISCRETE FOURIER TRANSFORMS;

IMAGE CODING;

EID: 0035368372     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/78.923301     Document Type: Article

References (11)

1. Image data compression using cubic convolution spline interpolation
2. Independent JPEG group's free JPEG software
3. Optimal spline interpolation for image compression
4. Cubic convolution interpolation for digital image processing
5. Cubic splines for image interpolation and digital filtering
6. B-spline signal processing-Part II: Efficient design and applications
7. A prime factor FFT algorithm using high-speed convolution
8. On computing the discrete fourier transform
9. n) for n =4, 5, 6, 8