Method for low-light-level image compression based on wavelet transform

2001 ◽  
Author(s):  
Shaoyuan Sun ◽  
Baomin Zhang ◽  
Liping Wang ◽  
Lianfa Bai
Keyword(s):  
Wavelet Transform ◽  
Image Compression ◽  
Light Level ◽  
Low Light

Low-light-level dual-spectrum image fusion based on wavelet transform

1998 ◽  
Author(s):  
Liping Wang ◽  
Bin Liu ◽  
Jianghua Hu ◽  
Baomin Zhang
Keyword(s):  
Wavelet Transform ◽  
Image Fusion ◽  
Light Level ◽  
Low Light

Study of a New Kind of Low Light Level Night Vision Device

2010 ◽  
Vol 439-440 ◽  
pp. 1601-1605
Author(s):  
Da She Li ◽  
Shu E Liu ◽  
Zhen Hua
Keyword(s):  
Image Processing ◽  
Wavelet Transform ◽  
Communication Protocol ◽  
Light Level ◽  
Night Vision ◽  
Edge Extraction ◽  
Low Light ◽  
Laser Technology ◽  
B Spline ◽  
Visual Range

A way based on B-Spline wavelet transform is used to get the edge extraction of the night image. Compared with classical methods of edge detection, it provides higher precision and saves more details etc. Formulation of communication protocol is put forward. With the combination of laser technology and night vision technology, hardware and software program and image processing is designed to realize the auto-detection, monitoring and alarm. The visual range in full dark is 1.8km and more than 2.1km in 1/4 moonlight

Optical Correlation Recognition Research of Low Light Level Target Based on Lifting Wavelet Transform

2013 ◽  
Vol 552 ◽  
pp. 529-535
Author(s):  
Qi Bo Zhang ◽  
Su Zhang ◽  
Yu Zhang ◽  
Wen Sheng Wang
Keyword(s):  
Wavelet Transform ◽  
Target Recognition ◽  
Correlation Method ◽  
Light Level ◽  
Joint Transform Correlator ◽  
Target Image ◽  
Low Light ◽  
Optical Correlation ◽  
Low Contrast ◽  
Noise Interference

Optical correlation technology is an important application in target recognition field, which can apply Joint Transform Correlator (JTC) to achieve target recognition. For the Low Light Level (LLL) target with low contrast and background noise interference, using optical correlation method may reduce the recognition ratio. In order to solve the problem, an effective algorithm-adaptive directional lifting based on wavelet transform (ADL) is used to process LLL target image. LLL image enhancement and target edge extraction are applied in this algorithm. Experimental results show that this algorithm can enhance the brightness of the correlation peaks and has the advantage of quick operation.

Software pattern recognition applied to nanodiffraction patterns from a STEM instrument

1986 ◽  
Vol 44 ◽  
pp. 694-695
Author(s):  
G.Y. Fan ◽  
J.M. Cowley
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Computer Software ◽  
Processing System ◽  
Light Level ◽  
Host Computer ◽  
Low Light ◽  
Image Processing System ◽  
Recent Developments ◽  
On Line

In recent developments, the ASU HB5 has been modified so that the timing, positioning, and scanning of the finely focused electron probe can be entirely controlled by a host computer. This made the asynchronized handshake possible between the HB5 STEM and the image processing system which consists of host computer (PDP 11/34), DeAnza image processor (IP 5000) which is interfaced with a low-light level TV camera, array processor (AP 400) and various peripheral devices. This greatly facilitates the pattern recognition technique initiated by Monosmith and Cowley. Software called NANHB5 is under development which, instead of employing a set of photo-diodes to detect strong spots on a TV screen, uses various software techniques including on-line fast Fourier transform (FFT) to recognize patterns of greater complexity, taking advantage of the sophistication of our image processing system and the flexibility of computer software.

Low-light-level three-dimensional video microscope with long working distance objective lenses

1994 ◽  
Vol 52 ◽  
pp. 226-227
Author(s):  
W. Lin ◽  
J. Gregorio ◽  
T.J. Holmes ◽  
D. H. Szarowski ◽  
J.N. Turner
Keyword(s):  
Three Dimensional ◽  
Light Level ◽  
Stereo Pair ◽  
Light Illumination ◽  
Initial Image ◽  
Low Light ◽  
Image Recording ◽  
Depth Discrimination ◽  
Video Microscope ◽  
Working Distance

A low-light level video microscope with long working distance objective lenses has been built as part of our integrated three-dimensional (3-D) light microscopy workstation (Fig. 1). It allows the observation of living specimens under sufficiently low light illumination that no significant photobleaching or alternation of specimen physiology is produced. The improved image quality, depth discrimination and 3-D reconstruction provides a versatile intermediate resolution system that replaces the commonly used dissection microscope for initial image recording and positioning of microelectrodes for neurobiology. A 3-D image is displayed on-line to guide the execution of complex experiments. An image composed of 40 optical sections requires 7 minutes to process and display a stereo pair.The low-light level video microscope utilizes long working distance objective lenses from Mitutoyo (10X, 0.28NA, 37 mm working distance; 20X, 0.42NA, 20 mm working distance; 50X, 0.42NA, 20 mm working distance). They provide enough working distance to allow the placement of microelectrodes in the specimen.

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