Thursday, April 23, 2015

FPA-CS: Focal Plane Array-based Compressive Imaging in Short-wave Infrared

George sent me the following a few days ago:
Dear Igor,

My name is Huaijin (George) Chen, a PhD student at Rice working with Ashok Veeraraghavan. We recently got our paper "FPA-CS: Focal Plane Array-based Compressive Imaging in Short-wave Infrared" accepted at CVPR (arXiv pre-print attached). We were able to achieve 1 megapixel video at 32 fps using 64x64 focal plane sensor in our system. We were wondering, if it is possible, you could kindly mention it on your renowned Nuit Blanche website? Thank you so much!


Sure George, it is important to notice when CS Imaging hardware implementations go beyond the traditional plain vanilla single pixel camera concept. Without further ado. FPA-CS: Focal Plane Array-based Compressive Imaging in Short-wave Infrared by Huaijin Chen, M. Salman Asif, Aswin C. Sankaranarayanan, Ashok Veeraraghavan

Cameras for imaging in short and mid-wave infrared spectra are significantly more expensive than their counterparts in visible imaging. As a result, high-resolution imaging in those spectrum remains beyond the reach of most consumers. Over the last decade, compressive sensing (CS) has emerged as a potential means to realize inexpensive short-wave infrared cameras. One approach for doing this is the single-pixel camera (SPC) where a single detector acquires coded measurements of a high-resolution image. A computational reconstruction algorithm is then used to recover the image from these coded measurements. Unfortunately, the measurement rate of a SPC is insufficient to enable imaging at high spatial and temporal resolutions.

We present a focal plane array-based compressive sensing (FPA-CS) architecture that achieves high spatial and temporal resolutions. The idea is to use an array of SPCs that sense in parallel to increase the measurement rate, and consequently, the achievable spatio-temporal resolution of the camera. We develop a proof-of-concept prototype in the short-wave infrared using a sensor with 64$\times$ 64 pixels; the prototype provides a 4096$\times$ increase in the measurement rate compared to the SPC and achieves a megapixel resolution at video rate using CS techniques.
Join the CompressiveSensing subreddit or the Google+ Community and post there !
Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email, explore the Big Picture in Compressive Sensing or the Matrix Factorization Jungle and join the conversations on compressive sensing, advanced matrix factorization and calibration issues on Linkedin.

No comments: