Architecture-Aware Optimization Strategies in Real-time Image Processing

1Introduction of Real-time Image Processing

1.1. General image processing presentation

The traditional view of an image derives heavily from experience in photography, television and the like. This means that an image is a two-dimensional (2D) structure, a representation and also a structure with meaning to a visual response system. This view of an image only accepts spatial variation (a static image). In parallel, a dynamic image has spatial and temporal variation. In most contexts, this is usually referred to as video. This more complex structure needs to be viewed as a sequence of images each representing a particular instance in time. On the other hand, an image can be formed by taking a sampling plane through that volume and so the variation in three dimensions is observed. This may be referred to as a volume image. An image linked to a volume that changes with time is a further possibility. This has particular significance in medical imaging applications [MYE 09].

Image processing is a method to convert an image into digital form and perform some operations on it in order to get an improved image or to extract some useful information from it. A digital image described in a 2D space is usually considered as 2D signals while applying already set signal methods to it. Image processing forms a core research area within engineering and computer science too.

Image processing is an enabling technology for a wide range of applications including remote sensing, security, image ...