Fast image processing for optical metrology utilizing heterogeneous computer architectures

Image Processing Architectures

A Holistic Approach for Modeling and Synthesis of Image Processing Applications for Heterogeneous Computing Architectures

Image processing applications are common in every field of our daily life. However, most of them are very complex and contain several tasks with different complexities which result in varying requirements for computing architectures. Nevertheless, a general processing scheme in every image processing application has a similar structure, called image processing pipeline: (1) capturing an image, ...

Hardware Architectures for Image Processing Acceleration

Achieving high performance has traditionally been a challenge in the image processing field. Even though many useful image processing algorithms can be described quite compactly with few operations, these operations must be repeated over large amounts of data and usually demand substantial computational effort. With the rapid evolution of digital imaging technology, the computational load of im...

Architectures for focal plane image processing

Architectures for focal plane image processing are discussed. On-chip image preprocessing for solid-state imagers using analog CCD circuits is described for low, medium, and high density detector arrays. A spatially parallel architecture for low density, high throughput applica­ tions is described. For sparse illumination or event detection, a content· addressable architecture is proposed. A ne...

Image processing for optical mapping

Optical Mapping is an established single-molecule, whole-genome analysis system, which has been used to gain a comprehensive understanding of genomic structure and to study structural variation of complex genomes. A critical component of Optical Mapping system is the image processing module, which extracts single molecule restriction maps from image datasets of immobilized, restriction digested...