Authors:
Luca Bianchi
1
;
Riccardo Gatti
1
;
Luca Lombardi
1
and
Luigi Cinque
2
Affiliations:
1
University of Pavia, Italy
;
2
University of Roma, Italy
Keyword(s):
GPU, Image compression, Parallel algorithms.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Enhancement and Restoration
;
Image Filtering
;
Image Formation and Preprocessing
;
Implementation of Image and Video Processing Systems
Abstract:
Today High Definition (HD) for video contents is one of the biggest challenges in computer vision. The 1080i standard defines the minimum image resolution required to be classified as HD mode. At the same time bandwidth constraints and latency don’t allow the transmission of uncompressed, high resolution images. Often lossy compression algorithms are involved in the process of providing HD video streams, because of their high compression rate capabilities. The main issue concerned to these methods, while processing frames, is that high frequencies components in the image are neither conserved nor reconstructed. Our approach uses a simple downsampling algorithm for compression, but a new, very accurate method for decompression which is capable of high frequencies restoration. Our solution Is also highly parallelizable and can be efficiently implemented on a commodity parallel computing architecture, such as GPU, obtaining extremely fast performances.