|
Web
Education
Viewing 1-3 of 3 total results
Adaptive regularization-based super resolution ...
A reconstruction technique, depends on using an adaptive regularization parameter (λ Å), is proposed to handle the problem of multi-focus images.The smooth area needs certain value of λ Å that differs from the value that is used in the sharp area.. The proposed reconstruction technique uses the optimal value for the selected regularization parameter λ Å by using the PSO....
Example-Based Regularization Deployed to Super-Resolution ...
In super-resolution (SR) reconstruction of images, regularization becomes crucial when insufficient number of measured low-resolution images is supplied. Beyond making the problem algebraically well posed, a properly chosen regularization can direct the solution toward a better quality outcome....
A Total Variation Regularization Based Super-Resolution ...
Super-resolution (SR) reconstruction technique is capable of producing a high-resolution image from a sequence of low-resolution images. In this paper, we study an efficient SR algorithm for digital video. To effectively deal with the intractable problems in SR video reconstruction, such as inevitable motion estimation errors, noise, blurring, missing regions, and compression artifacts, the ......
|
