Tone‐mapping constitutes a key component within the field of high dynamic range (HDR)
imaging. Its importance is manifested in the vast amount of tone‐mapping methods that can …

Most current steganographic schemes embed the secret payload by minimizing a
heuristically defined distortion. Similarly, their security is evaluated empirically using …

As one of the most important tasks in biomedical imaging, image segmentation provides the
foundation for quantitative reasoning and diagnostic techniques. A large variety of different …

We propose a novel image denoising strategy based on an enhanced sparse representation
in transform domain. The enhancement of the sparsity is achieved by grouping similar 2D …

Recent state-of-the-art image denoising methods use nonparametric estimation processes
for 8*8 patches and obtain surprisingly good denoising results. The mathematical and …

We review the evolution of the nonparametric regression modeling in imaging from the local
Nadaraya-Watson kernel estimate to the nonlocal means and further to transform-domain …

We propose an image restoration technique exploiting regularized inversion and the recent
block-matching and 3D filtering (BM3D) denoising filter. The BM3D employs a non-local …

Digital images are matrices of equally spaced pixels, each containing a photon count. This
photon count is a stochastic process due to the quantum nature of light. It follows that all …

Recent advances on adaptive steganography show that the performance of image
steganographic communication can be improved by incorporating the non-additive models …

In this paper, a novel spectral–spatial adaptive sparse representation (SSASR) method is
proposed for hyperspectral image (HSI) denoising. The proposed SSASR method aims at …