When dealing with motion blur, there is an inevitable tradeoff between the amount of blur
and the amount of noise in the acquired images. The effectiveness of any restoration …

This second edition of the fully revised and updated From Photon to Pixel presents essential
elements in modern digital photographic devices. Our universal infatuation with photography …

This paper introduces the concept of adaptive temporal compressive sensing (CS) for video.
We propose a CS algorithm to adapt the compression ratio based on the scene's temporal …

We present a novel coded exposure video technique for multi-image motion deblurring. The
key idea of this paper is to capture video frames with a set of complementary fluttering …

Motion-related image blur is a known issue in photography. In practice, it limits the exposure
time while capturing moving objects; thus, achieving proper exposure is difficult. Extensive …

This paper proposes a mathematical model and formalism to study coded exposure (flutter
shutter) cameras. The model includes the Poisson photon (shot) noise as well as any …

Relational data mining approaches look for patterns that involve multiple tables; therefore
they become popular in recent years. In this paper, we introduce granular association rules …

We describe a computational imaging system for x-ray tomography, where image capture
and post-processing are co-designed to improve final image quality when relative motion of …

Motion blur is easily observable in an image having moving objects, and the coded
exposure photography is one of the well-known solutions to its removal. In this paper, we …

This book chapter proposes a joint optical-digital processing method for motion deblurring in
photography. The problem of motion-related image blur limits the exposure time for …