COMPRESSIVE SENSING WITH LOCAL GEOMETRIC FEATURES
نویسندگان
چکیده
منابع مشابه
Compressive sensing with local geometric features Citation
We propose a framework for compressive sensing of images with local geometric features. Specifically, let x ∈ R be an N -pixel image, where each pixel p has value xp. The image is acquired by computing the measurement vector Ax, where A is an m×N measurement matrix for some m N . The goal is then to design the matrix A and recovery algorithm which, given Ax, returns an approximation to x. In th...
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Michael B. Wakin is the Ben L. Fryrear Associate Professor in the Department of Electrical Engineering and Computer Science at the Colorado School of Mines (CSM). Dr. Wakin received a B.S. in electrical engineering and a B.A. in mathematics in 2000 (summa cum laude), an M.S. in electrical engineering in 2002, and a Ph.D. in electrical engineering in 2007, all from Rice University. He was an NSF...
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ژورنال
عنوان ژورنال: International Journal of Computational Geometry & Applications
سال: 2012
ISSN: 0218-1959,1793-6357
DOI: 10.1142/s0218195912600102