300x200

Image super-resolution: Historical overview and future challenges

In most digital imaging applications, high resolution images or videos are usually desired for later image processing and analysis. The desire for high image resolution stems from two principal application areas: improvement of pictorial information for human interpretation ...

Learn More

300x200

Compressive sampling

Abstract. Conventional wisdom and common practice in acquisition and reconstruction of images from frequency data follow the basic principle of the Nyquist density sampling theory. This principle states that to reconstruct an image, the number of Fourier samples we need to acquire must match the desired resolution of the image ...

Learn More

Super Resolution

Image super resolution reconstruction (SR) is a kind of image processing technology that uses a computer to process a low resolution image (LR) or an image sequence to recover the high resolution image (HR). HR means that the image has a high pixel density, can provide more details, these details often play a key role in the application ...

Learn More »

Compressed Sensing

Compressed sensing, also known as compressed sampling, compressed sensing. It is a new sampling theory, it is through the development of signal sparse characteristics in far less than the sampling rate of Nyquist under the condition of discrete sample acquisition signal with random sampling, and then reconstruct the signal through the nonlinear perfect reconstruction algorithm. As soon as the theory of compressed sensing is proposed, it has attracted wide attention from both academia and industry. It has received attention in the information theory, image processing, earth science, optics, microwave imaging, pattern recognition, wireless communication, atmospheric, geological and other fields, and by the technology review named 2007 annual ten science and technology progress.

Learn More »

Twitter, Inc.
795 Folsom Ave, Suite 600
San Francisco, CA 94107
P: (123) 456-7890