The process of forming images from measured data using computational algorithms is referred to as computational imaging. Rapid advances in computational hardware and signal processing algorithms have resulted in a flurry of activity in computational imaging in several application areas, including medicine, biology, remote sensing, and seismic imaging.

IEEE SPS has built a streamlined mechanism for employers to add a job announcement by simply filling in a simple job opportunity submission Web form related to a particular TC field. To submit job announcements for a particular Technical Committee, the submission form can be found by visiting the page below and selecting a particular TC.

Image, Video, and Multidimensional Signal Processing Technical Committee (IVMSP TC) promotes and guides the advancement of the field of image, video, and multidimensional signal processing. It provides leadership for the technical programs for ICIP and for the IVMSP-related areas at ICASSP; recruits and volunteers reviewers for ICIP and for the IVMSP-related areas at ICASSP...

Image filtering is a fundamental task in computer vision and image processing. Various linear and nonlinear filters are routinely used for enhancement, superresolution, sharpening, restoration, etc. The focus of this thesis is on kernel-based filtering that has received significant attention in recent years.

Imaging of the human body using a number of different modalities has revolutionized the field of medicine over the past several decades and continues to grow at a rapid pace. More than ever, previously unknown information about biology and disease is being unveiled at a range of spatiotemporal scales. Although results and clinical adoption of strategies related to the computational and quantitative analysis of the images have lagged behind development of image acquisition approaches, there has been a noticeable increase of effort and interest in these areas in recent years. 

With cloud storage services, users can remotely store their data to the cloud and realize the data sharing with others. Remote data integrity auditing is proposed to guarantee the integrity of the data stored in the cloud. In some common cloud storage systems, such as the electronic health records system, the cloud file might contain some sensitive information that should not be exposed to others when the cloud file is shared.