… This paper presents a noise removal and image detail enhancement method that … present
noise in the detail image component. Finally, we filter the working range of the HDR along time …

… This paper presents an image detail enhancement and noise removal method that accounts
for the … Then, we filter the working range of the HDR along time to avoid global brightness …

… In addition, noise affect the size of minimal consistent set. Therefore, removing noise is an
… Compared with other algorithms which remove the noise by Wilson Editing in advance for …

… for mixed Gaussian-impulse noise removal by exploiting image local consistency and
nonlocal consistency simultaneously. Specifically, the local consistency is measured by a hyper-…

… consistency prior, we propose a novel adaptive consistency prior (… of DeamNet on both
synthetic and real noisy image datasets. … network for efficient single image noise removal. For real-…

… We will use the signal to noise ratio of the signal u to measure the level of noise, defined as
… We remark that the above regularization of the curvature term is consistent with one used in …

… noises are at a different propagation direction during the migration process, this brings an
opportunity to remove the coherent noises … δ , the expected seismic events consistent with the …

… Our temporal consistency constraint forces the generated … Transformed lowrank model for
line pattern noise removal. In … Transformed low-rank model for line pattern noise removal. …

… outstanding performance as long as the images obey certain conditions consistent with
algorithm assumptions, such as noise statistics or the type of patterns contained in the image. If …

… Our aim is to obtain consistent and stable results, regardless of the image nature (eg CT, …
they present a more sophisticated noise model than a simple Gaussian noise, it however can …