Compressive sensing (CS)-based image coding has been widely studied in the field of
image processing. However, the CS-based image encoder has a significant gap in image …

With the rapid development of information technology and the Internet, the sharp increase in
the amount of information storage and transmission has brought great challenges to the …

This paper proposes a novel image compression‐encryption scheme based on compressive
sensing and bit‐level XOR. In the proposed scheme, the encrypted sequences are …

Compressed imaging reconstruction technology can reconstruct high-resolution images with
a small number of observations by applying the theory of block compressed sensing to …

In order to effectively compress and reconstruct the elemental image array in integral
imaging, an improved block compressed sensing algorithm based on integral imaging is …

In this paper, a compressed image transmission scheme is proposed in a precoded
orthogonal frequency division multiplexing (OFDM)-based visible light communication (VLC) …

The SL0 algorithm for compressed sensing (CS) is a convex programming iterative
reconstruction algorithm, which construct a smooth function to approximate the L0 norm and …

Existing compressed sensing image reconstruction algorithms based on deep learning have
the problems of poor reconstructed image quality and blurred local areas. A multi-scale …