In this study, we propose a modeling-based compression approach for dense/lenslet light
field images captured by Plenoptic 2.0 with square microlenses. This method employs the 5 …

For the exemplar-based image inpainting problem, the filling order and local intensity
smoothness are two crucial factors that should be considered carefully. This work gives a …

Mixed Gaussian and Random-valued impulse noise (RVIN) removal is still a big challenge
in the field of image denoising. Existing denoising algorithms have defects in denoising …

The purpose of automated video object removal is to not only detect and remove the object
of interest automatically, but also to utilize background context to inpaint the foreground …

A multimodal distribution based uncertainty analysis method for cross-domain aircraft
morphing wing mechanisms is proposed to address the engineering issue of the reliability of …

In this paper, we propose a nonlocal adaptive biharmonic regularization term for image
restoration, combining the advantages of fourth-order models (preserving slopes) and …

The automatic stealth task of military time-sensitive targets plays a crucial role in maintaining
national military security and mastering battlefield dynamics in military applications. We …

The approach described in this research is an exemplar‐based inpainting problem that
combines a two‐stage structure tensor and image sparse representation to fill in any missing …

In this paper, a simplified Wiener structure (SWS) for single‐input‐single‐output (SISO)
Wiener processes and an identification method based on Gaussian mixture model (GMM) …

Blind image inpainting is a challenging task in image processing. Motivated by the excellent
performance of low dimensional manifold model (LDMM) in image inpainting for large-scale …