Title :
Fast Computation of the High Resolution Image Restoration by using the Discrete Cosine Transform
Author :
Abe, Y. ; Iiguni, Youji
Author_Institution :
Dept. of Syst. Innovation, Osaka Univ., Japan
Abstract :
The high resolution image restoration method from a down-sampled low resolution image by using the discrete cosine transform (DCT) is proposed. The downsampling process is modeled in matrix form and the similar transformation by the DCT matrix makes the downsampling matrix to be a sparse matrix. Then the restored high resolution image can be expressed in a scalar form by using the similar transformation and efficiently computed from the low resolution image. Computer simulations show that the proposed method is superior to the cubic spline interpolation in the high resolution image restoration performance.
Keywords :
discrete cosine transforms; image resolution; image restoration; sparse matrices; DCT; discrete cosine transform; down-sampled low resolution image; downsampling process; high resolution image restoration; sparse matrix; Cameras; Computer simulation; Discrete cosine transforms; Image resolution; Image restoration; Interpolation; Laplace equations; Pixel; Sparse matrices; Spline; Discrete cosine transforms; Image resolution; Image restoration;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0727-3
DOI :
10.1109/ICASSP.2007.366015