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NEWS AND RESOURCES FOR MEMBERS OF THE IEEE SIGNAL PROCESSING SOCIETY

Towards a Unified Theory of Sensor Pattern Noise: An analysis of dark current, lens effects, and temperature bias in CMOS image sensors

Matching images to a discrete camera is of significance in forensic investigation. In the case of digital images, forensic matching is possible through the use of sensor noise present within every image. There exist misconceptions, however, around how this noise reacts under variables such as temperature and the use of different lens systems.

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What Should We Learn? Biomedical Imaging and Analysis in the Age of Big Data and Deep Learning

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. 

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Special Issue of SPM: Computational MRI

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.

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