Joint HDR and Super-Resolution Imaging in Motion Blur
- Resource Type
- Authors
- A. N. RajagopaZan; Abhijeet Shenoi; Subeesh Vasu
- Source
- ICIP
- Subject
- Computer science
Dynamic range
business.industry
Motion blur
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
020207 software engineering
02 engineering and technology
Superresolution
Range (mathematics)
High-dynamic-range imaging
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
business
Image resolution
High dynamic range
Image restoration
ComputingMethodologies_COMPUTERGRAPHICS
- Language
Images captured from consumer cameras are often prone to camera shake resulting in motion blur. Effect of motion blur is more common in high dynamic range imaging applications where multiple images are captured over a wide range of exposure settings. In this paper, we propose a unified approach to perform high dynamic range super-resolution (HDR-SR) imaging from a sequence of low dynamic range and low-resolution motion-blurred images. While existing works on HDR-SR assume the availability of blur-free input images, we propose an approach which is designed to handle blurring effects caused by the camera motion. Our approach attempts to harness the complementarity present in terms of the sensor exposure and blur to yield a high-quality image which has both higher spatial resolution as well as dynamic range. Experiments on synthetic and real examples demonstrate that the proposed method delivers state-of-the-art results.