Title :
Image interpolation using across-scale pixel correlation
Author :
Chen, Tao ; Wu, Hong Ren ; Qiu, Bin
Author_Institution :
Sch.of Comput. Sci. & Software Eng., Monash Univ., Clayton, Vic., Australia
Abstract :
A novel method is proposed for image interpolation. It is assumed that the pixel correlation between local regions across scales would remain similar. In addition, this a priori similarity could be extracted from a set of available image data that have the same content but different resolutions. A simple architecture is devised to estimate the correlation efficiently, which is then used to predict the unknown pixel values in a high-resolution image. Evaluation shows a promising performance of the proposed algorithm
Keywords :
correlation methods; image resolution; interpolation; across-scale pixel correlation; algorithm performance; high-resolution image; image data; image interpolation; simulation results; Australia; Computer science; Data mining; Image resolution; Image storage; Interpolation; Kernel; Layout; Pixel; Software engineering;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.941305
