PROCEEDINGS ARTICLE | May 4, 2010
Proc. SPIE. 7723, Optics, Photonics, and Digital Technologies for Multimedia Applications
KEYWORDS: Staring arrays, Image compression, Matrices, Wavelets, Fourier transforms, Image resolution, Reconstruction algorithms, Coded apertures, Coded aperture imaging, Compressed sensing
Traditionally, optical sensors have been designed to collect the most directly interpretable and intuitive measurements possible.
However, recent advances in the fields of image reconstruction, inverse problems, and compressed sensing indicate
that substantial performance gains may be possible in many contexts via computational methods. In particular, by designing
optical sensors to deliberately collect "incoherent" measurements of a scene, we can use sophisticated computational
methods to infer more information about critical scene structure and content. In this paper, we explore the potential of
physically realizable systems for acquiring such measurements. Specifically, we describe how given a fixed size focal
plane array, compressive measurements using coded apertures combined with sophisticated optimization algorithms can
significantly increase image quality and resolution.
