Due to the vast amount of data associated with images and video, compression is a key technology for their transmission and storage.
The paper addresses the application of finding key features within an image utilizing the process termed the Principal Components Analysis (PCA).
Previous research has shown the benefits of using sub-band coding and vector quantization (SBC-VQ) for digitizing image frames at rates below 1 bit per pixel.
© 1999-2012 IEEE. We present an end-to-end image compression system based on compressive sensing.
The two-dimensional (2-D) doubly stochastic Gaussian (DSG) model was introduced by one of the authors to provide a complete model for spatial filters which adapt to the local structure in an image
We have demonstrated that current DUV resist platforms can be optimized to develop new EPL resists and that these new resists have a greater degree of freedom in their design than their optical cou
The attached image of the Si111> 7x7 reconstruction was obtained using a scanning tunneling microscope built and operated at AT&T Bell Laboratories.
This is a small informal book on image processing. It is meant to amuse and inspire rather than educate. Specifically, it is not meant to be a technical treatise.
The computational power and the instruction repertoire of the floating point digital signal processors (DSP's) have reached a level that makes it possible to build DSP based parallel computers for
Digital signal processor based parallel computers using distributed frame buffers constitute an important class of digital image processing machines.
