High-quality image restoration from partial mixed adaptive-random measurements

@article{Yang2015HighqualityIR,
  title={High-quality image restoration from partial mixed adaptive-random measurements},
  author={Jun Yang and Wei E. I. Sha and Hongyang Chao and Zhu Jin},
  journal={Multimedia Tools and Applications},
  year={2015},
  volume={75},
  pages={6189-6205}
}
A novel framework to construct an efficient sensing (measurement) matrix, called mixed adaptive-random (MAR) matrix, is introduced for directly acquiring a compressed image representation. The mixed sampling (sensing) procedure hybridizes adaptive edge measurements extracted from a low-resolution image with uniform random measurements predefined for the high-resolution image to be recovered. The mixed sensing matrix seamlessly captures important information of an image, and meanwhile… CONTINUE READING
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