Robust Temporal-Spatial
Decomposition and Its Applications in
Video Processing
Further Details Contact: A Vinay 9030333433, 08772261612
Email: [email protected] | www.takeoffprojects.com
ABSTRACT
In this paper, we propose a robust temporalspatial decomposition
(RTSD) model and discuss its applications in video processing. A video sequence
usually possesses high correlations among and within its frames. Fully exploiting
the temporal and spatial correlations enables efficient processing and better
understanding of the video sequence. Considering that the video sequence typically
contains slowly changing background and rapidly changing foreground as well as
noise, we propose to decompose the video frames into three parts: the
temporalspatially correlated part, the feature compensation part, and the sparse
noise part. Accordingly, the decomposition problem can be formulated as the
minimization of a convex function, which consists of a nuclear norm, a TV (total
variation)-like norm, and an ℓ1 norm. Since the minimization is nontrivial to
handle, we develop a two-stage strategy to solve this decomposition problem, and
discuss different alternatives to fulfil each stage of decomposition. The RTSD
model treats video frames as a unity from both the temporal and spatial point of
view, and demonstrates robustness to noise and certain background variations.
Experiments on video denoising and scratch detection applications verify the
effectiveness of the proposed RTSD model and the developed algorithms.
Further Details Contact: A Vinay 9030333433, 08772261612
Email: [email protected] | www.takeoffprojects.com
EXISTING METHOD:
Temporal-spatial decomposition, video processing, video denoising, scratch
detection.
DEMERITS:
 It is can’t solve this decomposition problem.
 It is no video denoising and scratch detection.
Further Details Contact: A Vinay 9030333433, 08772261612
Email: [email protected] | www.takeoffprojects.com
PROPOSED METHOD:
Prior Work, Review of Pixel Domain Methods, Review of Transform
Domain Methods, Notations, Our Contribution,
MERITS:
 It is can be solve the decomposition problem.
 It is can be mainly used video denoising and scratch detection and image
detection.
Further Details Contact: A Vinay 9030333433, 08772261612
Email: [email protected] | www.takeoffprojects.com
APPLICATIONS:
 Scarcth detection.
 Video denoising.
Proposed method images:
Further Details Contact: A Vinay 9030333433, 08772261612
Email: [email protected] | www.takeoffprojects.com
Original image
Corrupted by noise
Recovery via propose method
Further Details Contact: A Vinay 9030333433, 08772261612
Email: [email protected] | www.takeoffprojects.com