Results 1 to 10 of about 1,362,447 (342)

Natural Enhancement of Color Image [PDF]

open access: yesEURASIP Journal on Image and Video Processing, 2010
A new algorithm of Natural Enhancement of Color Image (NECI) is proposed. It is inspired by multiscale Retinex model. There are four steps to realize this enhancement. At first, the image appearance is rendered by content-dependent global mapping for light cast correction, and then a modified Retinex filter is applied to enhance the local contrast ...
Azeddine Beghdadi, Shaohua Chen
openaire   +4 more sources

Dictionary-enhanced imaging cytometry [PDF]

open access: yesScientific Reports, 2017
AbstractState-of-the-art high-throughput microscopes are now capable of recording image data at a phenomenal rate, imaging entire microscope slides in minutes. In this paper we investigate how a large image set can be used to perform automated cell classification and denoising.
Antony Orth   +3 more
openaire   +3 more sources

Left-invariant evolutions of wavelet transforms on the Similitude Group [PDF]

open access: yes, 2013
Enhancement of multiple-scale elongated structures in noisy image data is relevant for many biomedical applications but commonly used PDE-based enhancement techniques often fail at crossings in an image.
Duits, R., Sharma, U.
core   +4 more sources

Image enhancement using fuzzy intensity measure and adaptive clipping histogram equalization [PDF]

open access: yes, 2019
Image enhancement aims at processing an input image so that the visual content of the output image is more pleasing or more useful for certain applications. Although histogram equalization is widely used in image enhancement due to its simplicity and
Tany, Jin   +4 more
core  

Enhanced CNN for image denoising [PDF]

open access: yesCAAI Transactions on Intelligence Technology, 2019
Owing to the flexible architectures of deep convolutional neural networks (CNNs) are successfully used for image denoising. However, they suffer from the following drawbacks: (i) deep network architecture is very difficult to train. (ii) Deeper networks face the challenge of performance saturation.
Lunke Fei   +5 more
openaire   +3 more sources

Delaunay triangulation based image enhancement for echocardiography images [PDF]

open access: yes, 2009
A novel image enhancement approach for automatic echocardiography image processing is proposed. The main steps include undecimated wavelet based speckle noise reduction, edge detection, followed by a regional enhancement process that employs Delaunay ...
Ahanathapillai, V.   +2 more
core  

Joint Regression and Ranking for Image Enhancement

open access: yes, 2017
Research on automated image enhancement has gained momentum in recent years, partially due to the need for easy-to-use tools for enhancing pictures captured by ubiquitous cameras on mobile devices.
Chandakkar, Parag S., Li, Baoxin
core   +1 more source

Image-Enhanced Endoscopy in Practice [PDF]

open access: yesCanadian Journal of Gastroenterology, 2009
The detection, diagnosis and treatment of early cancers offers the best hope for the prevention and cure of gastrointestinal cancers – one of the leading causes of death worldwide (1). The detection of pre- or early cancer using white light endoscopy can be challenging because their morphology can be inconspicuous (ie, nonpolypoid; slightly elevated ...
Roy Soetikno   +2 more
openaire   +4 more sources

Digital TV image enhancement system [PDF]

open access: yes, 1973
Efficient, digital image-enhancement process has been developed for high-resolution slow-scan TV images. Scan converter is no longer subject to registration errors, which become more serious as resolution increases.
Biernson, G. A.
core   +1 more source

Enhancement of Image Resolution by Binarization

open access: yes, 2011
Image segmentation is one of the principal approaches of image processing. The choice of the most appropriate Binarization algorithm for each case proved to be a very interesting procedure itself.
Kanrar, Soumen, Mukherjee, Aroop
core   +1 more source

Home - About - Disclaimer - Privacy