Results 171 to 180 of about 4,335 (202)

Non-blind Image Deblurring from a Single Image

Cognitive Computation, 2012
Conventional non-blind image deblurring algorithms often involve in maximum a posteriori (MAP) estimation and natural image priors. However, MAP estimation has several disadvantages which limit its application. To address these issues, we propose to use Bayesian minimum mean squared error (MMSE) estimation instead of MAP to perform deblurring.
Bo Zhao, Wensheng Zhang, Huan Ding, Hu Wang   +3 more
openaire   +1 more source

Blind Image Deblurring Using Dark Channel Prior

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
We present a simple and effective blind image deblurring method based on the dark channel prior. Our work is inspired by the interesting observation that the dark channel of blurred images is less sparse. While most image patches in the clean image contain some dark pixels, these pixels are not dark when averaged with neighboring highintensity pixels ...
Jinshan Pan, Deqing Sun, Hanspeter Pfister, Ming-Hsuan Yang   +3 more
openaire   +1 more source

Blind Image Deblurring Based on Local Rank

Mobile Networks and Applications, 2019
Conventional algorithms for blind image deblurring are often inaccurate at blur kernel estimation, and the recovery effect is far from perfect. To address this, we propose a single-image blind deblurring method based on local rank. For this, we first impose adaptive threshold segmentation on a conventional local rank transform, which is subsequently ...
Li Zhu, Long Jin, Jihua Zhu, Zhongyu Li, Zhiqiang Tian, Huimin Lu   +5 more
openaire   +1 more source

Blur detection and fast blind image deblurring

2015 Annual IEEE India Conference (INDICON), 2015
In this paper we propose a new method for detecting blurred images based on sharpness of edges in image using Haar wavelet transform. This is a direct method which uses edge information in image. This method is time efficient and works for a wide range of images. We also propose a fast blind method for de-blurring an image.
Siddartha Pendyala, Pradeep Ramesha, Akshay Veer Bns, Dheeraj Arora   +3 more
openaire   +1 more source

Example-Guided Image Prior for Blind Image Deblurring

2017
This paper proposes a patch-based deblurring method to leverage the unregistered sharp example image which shares global or local contents with the blurred image in a variant view. Firstly, we propose a coarse-to-fine scheme to achieve the accurate image patches matching and solve the mismatch problem caused by the blur ambiguity.
Xueling Chen, Yu Zhu, Wei Sun, Yanning Zhang   +3 more
openaire   +1 more source

Robust Multiframe Blind Image Deblurring

2009 2nd International Congress on Image and Signal Processing, 2009
Haichao Zhang, Yanning Zhang
openaire   +1 more source

Image-based profiling for drug discovery: due for a machine-learning upgrade?

Nature Reviews Drug Discovery, 2020
Srinivas Niranj Chandrasekaran, Hugo Ceulemans, Anne E Carpenter   +2 more
exaly  

Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network

Information Fusion, 2022
Linfeng Tang, Jiteng Yuan, Jiayi
exaly  

PIAFusion: A progressive infrared and visible image fusion network based on illumination aware

Information Fusion, 2022
Linfeng Tang, Jiteng Yuan, Hao Zhang
exaly  

The impact of breast cancer on sexuality, body image, and intimate relationships

Ca-A Cancer Journal for Clinicians, 1991
Leslie R Schover
exaly