“Recent Advances in Image Deblurring” Chaired by
Conference:
Type(s):
Title:
- Recent Advances in Image Deblurring
Presenter(s)/Author(s):
Abstract:
Motion blur is a common artifact that produces disappointing blurry images with inevitable information loss. Due to the nature of imaging sensors that accumulates incoming lights, a motion blurred image will be obtained if the camera sensor moves during exposure. Image (motion) de-blurring is a computational process to remove motion blurs from a blurred image to obtain a sharp latent image. Recently image de-blurring has become a popular topic in computer graphics and vision research, and excellent methods have been developed to improve the quality of de-blurred images and accelerate the computation speed. Image de-blurring has also a variety of applications in image enhancement software and camera industry, and a practical image de-blurring method with quality and speed would be a critical factor to improve the performance of image enhancement and camera systems.
This course will first introduce the concepts, theoretical model, problem definition, and basic approach of image de-blurring. Blind deconvolution and non-blind deconvolution are two main topics of image de-blurring, which are classified by the existence of given kernel (or PSF; point spread function) information that describes the camera motion. For both blind deconvolution and non-blind deconvolution, challenges, classical methods, and recent research trends and successful methods will be presented. A PhotoShop demo will be given to show the performance of a recently developed fast motion de-blurring method.
This course will also cover several advanced issues of image de-blurring, such as hardware based approaches, spatially-varying camera shakes, object motions, and video de-blurring. It will conclude with remaining challenges, such as outliers and noise, computation time, and quality assessment. There will be Q&A; at the end of each presentation with a short discussion at the end of the course.
Additional Information:
Level
Intermediate
Intended Audience
Researchers interested in recent advances of image deblurring and industry professionals interested in practical applications of image deblurring for camera and image restoration software
Prerequisites
General knowledge of image processing and optimization
