Abstract
The high-resolution (HR) image restoration from a downsampled low-resolution (LR) image by using the discrete cosine transform (DCT) is proposed. The downsampling process is modeled in matrix form and the DCT is applied to the downsampling matrix to obtain the sparse matrix representation. The restored HR image is then efficiently computed from the LR image by using the sparsity. The distortion caused by the observation noise is theoretically analyzed, and the power of distortion is shown to be closely equal to the variance of the observation noise. Computer simulations show that the proposed method is superior to the cubic spline interpolation in the HR image restoration performance as far as the amount of the additive noise is small.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
