SIAM Journal on Imaging Sciences

he SIAM Journal on Imaging Sciences covers all areas of imaging sciences, broadly interpreted. It includes image formation, image processing, image analysis, image interpretation and understanding, computer graphics and visualization, and inverse problems in imaging; leading to applications to diverse areas in science, medicine, engineering, and other fields. Formal approaches, at the level of mathematics and/or computations, as well as state-of-the-art practical results, are expected from manuscripts published in SIIMS. SIIMS provides a broad authoritative source for fundamental results in imaging sciences, with a unique combination of mathematics and applications. SIIMS is mathematically and computationally based, and offers a unique forum to highlight the commonality of methodology, models, and algorithms among diverse application areas of imaging sciences.

Publisher
Society for Industrial and Applied Mathematics
Website
http://www.siam.org/journals/siims.php
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Engineering

New algorithm mimics electrosensing in fish

While humans may struggle to navigate a murky, turbid underwater environment, weakly electric fish can do so with ease. These aquatic animals are specially adapted to traverse obscured waters without relying on vision; instead, ...

Computer Sciences

Advances in the characterization of high dynamic range images

In image processing, computer graphics and photography, high dynamic range (or HDR) images are a set of techniques that allow a better dynamic range of luminance between lighter and darker areas in an image than can be achieved ...

Computer Sciences

Segmenting ultrasound video with a wavelet variational model

Image segmentation, the process of separating a digital image into multiple sections for individual examination, is frequently used in medical image analysis. For example, segmentation in ultrasound footage helps identify ...

Computer Sciences

Optimizing flutter shutter to minimize camera blur

Whether taking photos recreationally or professionally, photographers understandably want their snapshots to appear sharp and clear. Image clarity is dependent on exposure time, or the amount of time that a camera's sensor ...