Book ChapterDOI
HDR imaging under non-uniform blurring
C. S. Vijay,Paramanand Chandramouli,Rajagopalan Ambasamudram +2 more
- pp 451-460
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TLDR
A technique to obtain the high dynamic range (HDR) irradiance of a scene from a set of differently exposed images captured using a hand-held camera and a transformation spread function (TSF) that represents space-variant blurring as a weighted average of differently transformed versions of the latent image.Abstract:
Knowledge of scene irradiance is necessary in many computer vision algorithms. In this paper, we develop a technique to obtain the high dynamic range (HDR) irradiance of a scene from a set of differently exposed images captured using a hand-held camera. Any incidental motion induced by camera-shake can result in non-uniform motion blur. This is particularly true for frames captured with high exposure durations. We model the motion blur using a transformation spread function (TSF) that represents space-variant blurring as a weighted average of differently transformed versions of the latent image. We initially estimate the TSF of the blurred frames and then estimate the latent irradiance of the scene.read more
Citations
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Journal ArticleDOI
Harnessing Motion Blur to Unveil Splicing
TL;DR: This work proposes a passive method to automatically detect image splicing using blur as a cue and can expose the presence of splicing by evaluating inconsistencies in motion blur even under space-variant blurring situations.
Journal ArticleDOI
Non-Uniform Deblurring in HDR Image Reconstruction
TL;DR: A method is developed that takes input non-uniformly blurred and differently exposed images to extract the deblurred, latent irradiance image and estimates the TSFs of the blurred images from locally derived point spread functions by exploiting their linear relationship.
Proceedings ArticleDOI
Towards a robust HDR imaging system
TL;DR: This work presents a robust HDR imaging system which can deal with blurry LDR images, overcoming the limitations of most existing HDR methods.
Journal ArticleDOI
Analysis of Quality Measurement Parametersof Deblurred Images
Dejee Singh,R. K. Sahu +1 more
TL;DR: This paper proposes a method for image deblurring and reconstruction of HDR images using transformation spread functions (TSFs), which is directly estimated from locally derived point spread function (PSFs) by exploiting their relationship.
Journal ArticleDOI
Image Restoration by Developing an HDR Image for Minimizing the Blur in Image
TL;DR: This work focuses on the tone mapping techniques with a practice to dynamically determine the suitable exposure parameter for LDR images agreeing to the property of each scene to be seized, which provides approximately 10% improvement in UIQI in comparison to C.Vijay method.
References
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Richardson-Lucy deblurring for scenes under a projective motion path.
Yu-Wing Tai,Michael S. Brown +1 more
Proceedings ArticleDOI
Image fusion for context enhancement and video surrealism
TL;DR: This work presents a class of image fusion techniques to automatically combine images of a scene captured under different illumination based on a gradient domain technique that preserves important local perceptual cues while avoiding traditional problems such as aliasing, ghosting and haloing.
Proceedings ArticleDOI
High dynamic range image reconstruction from hand-held cameras
TL;DR: This paper adapts an alignment method and proposes a method for HDR reconstruction from possibly blurred images, which uses Bayesian framework to formulate the problem and applies a maximum-likelihood approach to iteratively perform blur kernel estimation, HDR image reconstruction and camera curve recovery.
Proceedings ArticleDOI
Inferring Image Transformation and Structure from Motion-Blurred Images.
TL;DR: A technique to estimate the scene depth with the knowledge of the estimated image transformations from observations that are blurred due to unconstrained camera motion is proposed.