Na ve simulated additive white Gaussian noise (AWGN) may not fully characterize the
complexity of real world noisy images. Owing to optimal sparsity in image representation, we …

Variational models involving Euler's elastica energy have been widely used in many fields of
digital image processing, such as image inpainting and additive Gaussian noise removal. In …

Visual quality inspection of part surfaces is a crucial step in industrial production. Image
edge detection is a common technique for assessing the surface conditions of parts …

The improvement of the edge detection accuracy and integrity of the single silicon crystal
and bright halo is the key to measuring the crystal diameter. This paper proposes an edge …

Variational based problems are an important class of problems and have a space of
improvement in image processing. Boosting techniques have been shown capable of …

In medical image analysis, energy minimization-based optimization approaches are
invaluable. This chapter presents a joint optimization method called multiplicative intrinsic …

Image restoration is the process of extracting clean images, ie, beneficial information from
the noisy and blurred input images. Image processing may be carried out for various image …

Humans can easily spot people, objects, scenes, and visual details in photographs and
videos. The main goal is to make a computer capable of what humans can do with learning …