1. A method for reconstructing an image of a scene captured using a compressed sensing device, the method comprising: obtaining measurements of a scene using a compressed sensing device which comprises, at least in part, a spatial light modulator configuring a plurality of spatial patterns according to a set of basis functions each having spatially varying spatial resolution, a spatial resolution of said basis functions being adaptively modified according to attributes of a mask which identifies at least one region of interest in an image of said scene, each pattern of said spatial light modulator focuses a portion of the incoming light of said scene onto at least one detector which samples sequential measurements of light focused thereon by said pattern, each of said measurements comprising an inner product result y m =<x,φ m >, where x[•] denotes an N-dimension vector representing the N-pixel sampled version of said scene and φ m [•] denotes the m th incoherent basis function used for sampling, a series of said measurements comprising a sequence of projection coefficients corresponding to said scene; and reconstructing an appearance of said scene utilizing a compressed sensing framework which reconstructs said image from said sequence of projection coefficients after M inner products have been sampled, where M<<N, said reconstruction being such that pixel locations associated with said identified at least one region of interest have a higher image quality when rendered relative to other pixels of said image.