Computational sensing-low-power processing publications

We introduce Salience-Based Compression (SBC), a vision-guided pre-filtering technology, coupled with standards-based video coding.

This paper discusses several novel methods that have demonstrated on a real-time platform including an IIR filter, a single Kalman filter and an interactive multi-model filter.

SRI has developed a number of enabling technologies including the use of SWaP-optimized Systems-on-a-Chip which provide Multispectral Fusion and Contrast Enhancement as well as H.264 video compression.

We propose a Motion Adaptive Signal Integration (MASI) algorithm that operates the sensor at a high frame rate, with real time alignment of individual image frames to form an enhanced…

This paper proposes an overhauled method of exposure fusion that solves the exposure and focus problems simultaneously, achieving a well-exposed, all-in-focus result.

We proposed an algorithmic approach using a mask pyramid to better localize the selection process. A new embedded system architecture that builds upon the Acadia ® II Vision Processor is…

The proposed approach offers a generic methodology for applications in image enhancement, high dynamic range compression, depth of field extension, and image blending.

This paper presents a detailed technical overview of the Acadia® II, highlighting its architecture, processing capabilities, memory and peripheral interfaces.

Maximizing transmitted video quality at the highest resolution and highest frame rate is desirable,but multiple approaches can be employed to maximize transmission quality for the video at a given bitrate.