Contrast enhancement of mammogram by image processing

1993 ◽  
Author(s):  
Ying Xiong ◽  
Chan F. Lam ◽  
G. D. Frey ◽  
Marilyn R. Croley
Keyword(s):  
Image Processing ◽  
Contrast Enhancement

scholarly journals Digital Image Processing and Data Retrieval : The Needs

1982 ◽  
Vol 64 ◽  
pp. 109-110
Author(s):  
A. Bijaoui
Keyword(s):  
Image Processing ◽  
Information Extraction ◽  
Noise Reduction ◽  
Contrast Enhancement ◽  
Digital Image Processing ◽  
Digital Image ◽  
Data Retrieval

During the last decenny, Digital Image Processing (D.I.P.) has been introduced in astronomical studies to allow the information extraction.In a first step, D.I.P. has been used essentially to provide enhanced images (noise reduction, deconvolution, contrast enhancement), to reduce geometrical or photometrical distorsions and to extract rough data. So, a few reference date are needed (some comparison lines for example).

scholarly journals Image Processing and Scientific Misconduct

1998 ◽  
Vol 6 (4) ◽  
pp. 12-13 ◽  
Author(s):  
William R. Oliver
Keyword(s):  
Image Processing ◽  
Contrast Enhancement ◽  
Scientific Misconduct ◽  
Image Interpretation ◽  
Computer Scientist ◽  
Bodily Injury ◽  
Microscopy Image ◽  
Everyday Work ◽  
Enhancement Method ◽  
Group A

In a recent microscopy discussion group, a correspondent questioned the use of a contrast enhancement method applied to a microscopy image for publication. What kinds of image processing, folk asked, are “acceptable” in a general sense? What kinds of image processing should be noted in the text or caption and what kind of images should be archived?It is an interesting set of questions, and I face them wearing three hats, I am a forensic pathologist who performs forensic image interpretation in the investigation of homicide and assault, an anatomic pathologist with an interest in confocal microscopy, and a computer scientist with training in image processing and computer vision. Image processing is part and parcel of my everyday work. I use tools such as contrast enhancement, debarring, and photogrammetry for image interpretation. I build tools for visualization in my confocal work. I collaborate in the design of data acquisition devices for the evaluation of crime scenes and bodily injury.

Multiple Blind Watermark Algorithm Based on Wavelet Packet Transform and Two-Dimensional Chaos Scramble

2012 ◽  
Vol 532-533 ◽  
pp. 1846-1850 ◽  
Author(s):  
Tian Zhong Zhao ◽  
Tao Chen ◽  
Jia Xu ◽  
Tao Wang ◽  
Wei Yi Shi
Keyword(s):  
Image Processing ◽  
Contrast Enhancement ◽  
Wavelet Packet ◽  
Wavelet Packet Transform ◽  
Experimental Results ◽  
Two Dimensional ◽  
Hidden Information ◽  
Image Contrast Enhancement ◽  
Multiple Watermarks ◽  
Watermark Algorithm

In this paper, multiple blind watermark algorithm based on wavelet packet transform (WPT) and two-dimensional chaos image scramble is put forward. In the sub-images of WPT, multiple watermarks are embedded and distilled blindly. Meantime, the image contrast enhancement to hidden information before hand can improve its robustness effectively. In order to improve the security, two-dimensional chaos image scramble algorithm is designed. Experimental results show that the multiple blind watermark algorithm has good invisibleness, security and robustness to common image processing and noise attack.

A NONLINEAR OSCILLATORS NETWORK DEVOTED TO IMAGE PROCESSING

2004 ◽  
Vol 14 (04) ◽  
pp. 1385-1394 ◽  
Author(s):  
S. MORFU ◽  
J. C. COMTE
Keyword(s):  
Image Processing ◽  
Contrast Enhancement ◽  
Real Time ◽  
Nonlinear Oscillators ◽  
Gray Scale ◽  
Nonlinear Network ◽  
Electronic Implementation

A contrast enhancement and image inverting tool using a lattice of uncoupled nonlinear oscillators is proposed. We show theoretically and numerically that the gray scale picture contrast is strongly enhanced even if this one is initially very small. An image inversion can be also obtained in real time with the same Cellular Nonlinear Network (CNN) without reconfiguration of the network. A possible electronic implementation of this CNN is finally discussed.

Sign in / Sign up

Export Citation Format

Share Document