Results 251 to 260 of about 557,712 (297)

A self-adaptive learning method for motion blur kernel estimation of the single image

Optik (Stuttgart), 2021
The estimation of blur kernel is the first and principal steps in the deconvolution of single blurred image. The quality of image restoration highly depends on its estimation accuracy.
Wei Zhou, Xingxing Hao, Jin Cui, Yongxian Yu, Xin Cao, Arjan Kuijper   +5 more
semanticscholar   +1 more source

Robust motion blur kernel parameter estimation for star image deblurring

, 2021
Under dynamic conditions, the star images may be blurred and result in the decrease of attitude measurement accuracy of the star sensor. To estimate blur kernel parameters needed for star image deblurring, including blur angle and blur length, a method ...
Xiyuan Chen, Di Liu, Yu Zhang, Xiao Liu, Yuan Xu, Chunfeng Shi   +5 more
semanticscholar   +1 more source

Robust Blur Kernel Estimation for License Plate Images From Fast Moving Vehicles

IEEE Transactions on Image Processing, 2016
Qingbo Lu, Wen-gang Zhou, Lu Fang, Houqiang Li   +3 more
semanticscholar   +3 more sources

Blurred Image Restoration Using Fast Blur-Kernel Estimation

2014 Tenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2014
Motion blur is usually generated when people captured a picture in the daily life. This kind of blur is often non-liner motion and may cause the blurred contents seriously in this image. Hence, how to remove the blurred image into a clear image becomes a very important scheme.
Hui Yu Huang, Wei Chang Tsai
openaire   +1 more source

Blur kernel estimation to improve recognition of blurred faces

2012 19th IEEE International Conference on Image Processing, 2012
This paper proposes an efficient blind deconvolution method to deblur face images for face recognition. The method involves a salient edge map construction, blur kernel estimation and face image deconvolution. The combined Yale and Extended Yale face database B containing different illumination changes and blur conditions are used to evaluated the face
Chan, CH, Kittler, J
openaire   +2 more sources

Improved blur kernel estimation with blurred and noisy image pairs

2010 International Conference on Computer and Communication Technologies in Agriculture Engineering, 2010
In this paper, we propose a TV-L1 denoising model-based kernel estimation in image deblurring which uses both blurred and noisy images. More details and edges are recovered in the denoised image which is used to replace the true image and do the deconvolution.
null Qian Wan, null Yuan-Biao Zhang, null Chuan He, null Jia-Di Wan   +3 more
openaire   +1 more source

Restoration of the Blurred Image Based on Continuous Blur Kernel

2016 8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2016
It's very common to see many regions of the blur in the pictures because of the relative movement of the subject and the shooting equipment, which causes much difficulty for the subsequent processing such as information extraction. This paper proposes a new method to solve the problem by using the continuous motion kernel.
Yuanzhi Gong, Yule Yuan, Wenbin Zou, Yong Zhao, Song Tang, Yuanyuan Qin   +5 more
openaire   +1 more source

Exposing Blur Kernel from Retouch Image

2013 International Conference on Computer-Aided Design and Computer Graphics, 2013
The blurring in image comes either from the acquisition noise, or from image editing operation. The produced adverse noise during acquisition need to be eliminated, and the blurring generated by editing should be known in digital forensics, so the blur kernel recovery is significant in community of image processing and computer graphics.
Zhenlong Du, Xiaoli Li, Yanwen Guo
openaire   +1 more source

Parameterized Blur Kernel Prior Learning for Local Motion Deblurring

Computer Vision and Pattern Recognition
Unlike global motion blur, Local Motion Deblurring (LMD) presents a more complex challenge, as it requires precise restoration of blurry regions while preserving the sharpness of the background.
Zhenxuan Fang, Fangfang Wu, Tao Huang, Le Dong, Weisheng Dong, Xin Li, G. Shi   +6 more
semanticscholar   +1 more source

BAGS: Blur Agnostic Gaussian Splatting through Multi-Scale Kernel Modeling

European Conference on Computer Vision
Recent efforts in using 3D Gaussians for scene reconstruction and novel view synthesis can achieve impressive results on curated benchmarks; however, images captured in real life are often blurry.
Cheng Peng, Yutao Tang, Yifan Zhou, Nengyu Wang, Xijun Liu, Deming Li, Rama Chellappa   +6 more
semanticscholar   +1 more source