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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Journal ArticleDOI
Fast, Robust Image Registration for Compositing High Dynamic Range Photographs from Hand-Held Exposures
TL;DR: A three million pixel exposure can be aligned in a fraction of a second on a contemporary microprocessor using this technique, and the cost of the algorithm is linear with respect to the number of pixels and effectively independent of the maximum translation.
Proceedings Article
High Dynamic Range Imaging.
TL;DR: This course outlines recent advances in high-dynamic-range imaging, from capture to display, that remove this restriction, thereby enabling images to represent the color gamut and dynamic range of the original scene rather than the limited subspace imposed by current monitor technology.
Journal ArticleDOI
Image deblurring with blurred/noisy image pairs
TL;DR: In this paper, the camera is set to a long exposure time, and the image is blurred due to camera shake, and a hand-held camera is used to take photos under dim lighting conditions.
Journal ArticleDOI
Richardson-Lucy Deblurring for Scenes under a Projective Motion Path
TL;DR: This paper discusses how the blurred image can be modeled as an integration of the clear scene under a sequence of planar projective transformations that describe the camera's path, and describes how to modify the Richardson-Lucy algorithm to incorporate this new blur model.
Journal ArticleDOI
Two motion-blurred images are better than one
A. Rav-Acha,Shmuel Peleg +1 more
TL;DR: It is shown that when two motion-blurred images are available, having different blur directions, image restoration can be improved substantially and the direction of the motion blur and the PSF (Point Spread Function) of the blur can be computed robustly.