Computer vision and artificial intelligence applications in medicine are becoming
increasingly important day by day, especially in the field of image technology. In this paper …

Image representation is an important topic in computer vision and pattern recognition. It
plays a fundamental role in a range of applications toward understanding visual contents …

A novel color image encryption scheme is presented by combining the multi-parameter
fractional discrete Tchebyshev moments (MPFrDTMs) with the nonlinear fractal permutation …

Due to their good rotational invariance and stability, image continuous orthogonal moments
are intensively applied in rotationally invariant recognition and image processing. However …

" A picture is worth one thousand words". This proverb comes from Confucius-a Chinese
philosopher about 2500 years ago. Now, the essence of these words is universally …

A new set of orthogonal moments based on the discrete classical Krawtchouk polynomials is
introduced. The Krawtchouk polynomials are scaled to ensure numerical stability, thus …

Blur is a key determinant in the perception of image quality. Generally, blur causes spread of
edges, which leads to shape changes in images. Discrete orthogonal moments have been …

Some research progress has been made on fractional-order continuous orthogonal
moments (FrCOMs) in the past two years. Compared with integer-order continuous …

This accessible textbook examines the basic technologies needed to support image
processing applications, including the characterization of continuous images, image …

Image content variation is a typical and challenging problem in no-reference image-quality
assessment (NR-IQA). This work pays special attention to the impact of image content …