نتایج جستجو برای: visual input enhancement

تعداد نتایج: 684531  

Journal: :Neuron 2014
Baktash Babadi Haim Sompolinsky

In several sensory pathways, input stimuli project to sparsely active downstream populations that have more neurons than incoming axons. Here, we address the computational benefits of expansion and sparseness for clustered inputs, where different clusters represent behaviorally distinct stimuli and intracluster variability represents sensory or neuronal noise. Through analytical calculations an...

عزت ا... ارضی, , علیرضا حسنی, , فرامرز اسماعیلی سراجی, ,

  In this paper, we suggest a novel model, based on input pump power and wave guidestructure, to calculate the Er-density profile in Erbium doped fiber amplifiers. This optimization is carried out for both SMF and DSF fibers. These optimized profiles have a Gaussian-like shape. Using the SMF optimized Er-density profile, high gain enhancement is obtained in a relatively short length of fibers. ...

2014
Jun Xie Guanghua Xu Jing Wang Sicong Zhang Feng Zhang Yeping Li Chengcheng Han Lili Li

Although noise has a proven beneficial role in brain functions, there have not been any attempts on the dedication of stochastic resonance effect in neural engineering applications, especially in researches of brain-computer interfaces (BCIs). In our study, a steady-state motion visual evoked potential (SSMVEP)-based BCI with periodic visual stimulation plus moderate spatiotemporal noise can ac...

2011
Manpreet Kaur Jasdeep Kaur Jappreet Kaur

This Contrast enhancement is frequently referred to as one of the most important issues in image processing. Histogram equalization (HE) is one of the common methods used for improving contrast in digital images. Histogram equalization (HE) has proved to be a simple and effective image contrast enhancement technique. However, the conventional histogram equalization methods usually result in exc...

2015
Rajulath Banu Ranjith Ram

In this paper, we study and compare various histogram based Magnetic Resonance Imaging(MRI) enhancement techniques.Image enhancement is a processing on an image in order to make it more appropriate for certain applications. It is used to improve the visual effects and the clarity of image or to make the original image more conducive for computer to process. Contrast enhancement changing the pix...

The purpose of the present study was to determine whether noticing through input enhancement had any impact on the acquisition of English conditional sentences in Iranian EFL learners. Two intact classes with 26 female students in each were chosen. A proficiency test administered at the commencement of the study showed that the two groups were homogeneous in terms of their language proficiency....

Journal: :journal of nanostructures 2013
m. moradi z. rajabi

the effect of single and double-layer anti-reflective coatings on efficiency enhancement of silicon solar cells was investigated. the reflectance of different anti-reflection structures were calculated using the transfer matrix method and then to predict the performance of solar cells coated by these structures, the weighted average reflectance curves were used as an input of a pc1d simulation....

Journal: :Computer Vision, Graphics, and Image Processing 1989
Azeddine Beghdadi Alain Le Négrate

Many digital contrast enhancement techniques have been used in order to optimize the visual quality of the image for human or machine vision through gray-scale or histogram modifications [l-4]. All these methods try to enhance the contrast of the input image without measuring the contrast itself. Moreover there is no universal criterion or unifying theory specifying the validity of a given enha...

Journal: :Optometry and vision science : official publication of the American Academy of Optometry 2012
Premnandhini Satgunam Russell L Woods Gang Luo P Matthew Bronstad Zachary Reynolds Chaithanya Ramachandra Bartlett W Mel Eli Peli

PURPOSE To determine whether image enhancement improves visual search performance and whether enhanced images were also preferred by subjects with vision impairment. METHODS Subjects (n = 24) with vision impairment (vision: 20/52 to 20/240) completed visual search and preference tasks for 150 static images that were enhanced to increase object contours' visual saliency. Subjects were divided ...

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