Image and Video Restorations via
Nonlocal Kernel Regression
Further Details Contact: A Vinay 9030333433, 08772261612
Email: takeoffstudentprojects@gmail.com | www.takeoffprojects.com
ABSTRACT
A nonlocal kernel regression (NL-KR) model is presented in this paper for various image
and video restoration tasks. The proposed method exploits both the nonlocal self-similarity and
local structural regularity properties in natural images. The nonlocal self-similarity is based on
the observation that image patches tend to repeat themselves in natural images and videos, and
the local structural regularity observes that image patches have regular structures where accurate
estimation of pixel values via regression is possible. By unifying both properties explicitly, the
proposed NL-KR framework is more robust in image estimation, and the algorithm is applicable
to various image and video restoration tasks. In this paper, we apply the proposed model to
image and video denoising, deblurring, and superresolution reconstruction. Extensive
experimental results on both single images and realistic video sequences demonstrate that the
proposed framework performs favorably with previous works both qualitatively and
quantitatively.
Further Details Contact: A Vinay 9030333433, 08772261612
Email: takeoffstudentprojects@gmail.com | www.takeoffprojects.com
EXISTING METHOD:
Deblurring, denoising, local structural regression, nonlocal self-similarity, restoration,
superresolution (SR).
DEMERITS:
 It is low-dimensional models for image representation and manipulation.
PROPOSED METHOD:
Further Details Contact: A Vinay 9030333433, 08772261612
Email: takeoffstudentprojects@gmail.com | www.takeoffprojects.com
Image restoration, Prior art, Local structural regression, Nonlocal-similarity-based estimation,
Nl-kr model, Mathematical formulation, Structural kernel estimation, Iterative nl-kr, Relations to
other works, Nl-kr for image and video restorations, Image denoising and deblurring.
MERITS:
 The proposed method to image and video denoising, deblurring.
Further Details Contact: A Vinay 9030333433, 08772261612
Email: takeoffstudentprojects@gmail.com | www.takeoffprojects.com