Non-local means

Noise reduction

Pure mathematics

Multiview Video Coding

Mathematics

Computer graphics

Noise (video)

Image (mathematics)

Image restoration

Artificial intelligence

Video tracking

Image denoising

Computer science

Video processing

Field (mathematics)

Video denoising

Computer vision

Image processing

Visual Computing for Industry Biomedicine and Art

With the explosion in the number of digital images taken every day, the demand for more accurate and visually pleasing images is increasing. However, the images captured by modern cameras are inevitably degraded by noise, which leads to deteriorated visual image quality. Therefore, work is required to reduce noise without losing image features (edges, corners, and other sharp structures). So far, researchers have already proposed various methods for decreasing noise. Each method has its own advantages and disadvantages. In this paper, we summarize some important research in the field of image denoising. First, we give the formulation of the image denoising problem, and then we present several image denoising techniques. In addition, we discuss the characteristics of these techniques. Finally, we provide several promising directions for future research.

Brief review of image denoising techniques