A blur classification approach using deep convolution neural network

S Tiwari - International Journal of Information System Modeling …, 2020 - igi-global.com
Computer vision-based gesture identification is designed to recognize human actions with
the help of images. During the process of gesture image acquisition, images suffer various …

Skin Cancer Detection using Arificial Neural Network.

E Singhal, S Tiwari - International Journal of Advanced …, 2015 - search.ebscohost.com
Skin Cancer is most prevalent cancer in the light-Skinned population and it is generally
caused by exposure to ultraviolet light. In this paper, an automatically skin cancer …

A pattern classification based approach for blur classification

S Tiwari - Indonesian Journal of Electrical Engineering and …, 2017 - section.iaesonline.com
Blur type identification is one of the most crucial step of image restoration. In case of blind
restoration of such images, it is generally assumed that the blur type is known prior to …

Effect of induced blur on distance visual function

T Hoosen, F Mitha, C Narothan… - African Vision and …, 2020 - avehjournal.org
Background: Tests of visual function assess the eye and visual system. Factors such as
ageing, refractive error, strabismus, amblyopia and ocular diseases have a negative effect …

Modification of speed-up robust feature method with histogram of oriented gradient in image blur classification

MAP Tanjung, OS Sitompul… - 2017 11th International …, 2017 - ieeexplore.ieee.org
Human eye can easily distinguish objects in images, such as animals, plants or non-living
objects that they already recognized. However, the same matter doesn't hold for computers …

[PDF][PDF] Blur Estimation and Identification of Degraded Images

M Monika, MC Parikh - 2017 - academia.edu
During the process of image acquisition, sometimes images are degraded by various
reasons. Image restoration is a challenging task in the field of Image processing. The …