SIAM J. on Imaging Sciences

Keyword
DOI
Citation
Advanced Search

Search Content Type

article doi:

Citation:

Journal Description

Publication Info

ISSN info
Electronic: 1936-4954
Coden: SJISBI

The 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. Authors are encouraged to exploit the endless possibilities of an electronic publication with the use of color, animations, video, presentations, and additional supplementary material as detailed in the instructions for authors.

Research papers that innovate both in the fundamentals and in the applications are especially welcome. SIIMS focuses on conceptually new ideas, methods, and fundamentals as applied to all aspects of imaging sciences.

Featured Article

Contour Stencils: Total Variation along Curves for Adaptive Image Interpolation

Image interpolation is the problem of increasing the resolution of a given image. An important aspect of interpolation is accurate estimation of edge orientations. This work introduces contour stencils, a new method for estimating the image contours based on total variation along curves. Contour stencils are able to distinguish lines of different orientations, curves, corners, and other geometric features with a computationally efficient formula. Contour stencils are applied in designing an edge directed color interpolation method. The method incorporates an efficient approximation of deconvolution. Although most interpolation methods that involve deconvolution require either solving a large linear system or running many iterations, this method has linear complexity in the number of pixels and can be computed in one or a small number of passes through the image. Comparisons show that the proposed interpolation is competitive with existing methods.

SIAM J. Imaging Sci. 4, pp. 954-979