Spatial image filtering using spline approximation in the case of impulse noise

2019 ◽  
Author(s):  
Dmitriy Bezuglov ◽  
Viacheslav V. Voronin ◽  
Sergei Mishchenko
Keyword(s):  
Impulse Noise ◽  
Spline Approximation ◽  
Image Filtering ◽  
Spatial Image

scholarly journals Images denoising in case impulse noise using spline approximation

2018 ◽  
Vol 226 ◽  
pp. 04045 ◽  
Author(s):  
Dmitriy A. Bezuglov ◽  
Viacheslav V. Voronin ◽  
Vladimir A. Krutov
Keyword(s):  
Impulse Noise ◽  
High Efficiency ◽  
Autonomous Robots ◽  
A Priori ◽  
Spline Approximation ◽  
Experimental Studies ◽  
Image Filtering ◽  
Spline Functions ◽  
Priori Information

Analytical equations of a new spline approximation method for filtering impulse noise in images are obtained. The proposed method differs from the known ones: when filtering images, one-dimensional sequential spline functions are used for direct and inverse transformations, and the processing is performed in rows and columns. In this work, experimental studies based on computer simulation using special test images on the background of impulse noise were conducted. Experimental studies have shown the operability and high efficiency of the developed method, which allow to improve the quality of image filtering by up to 10 dB. In this case, the properties of spline functions make it possible to abandon the use of various masks, that is, to abandon inefficient linear methods of image filtering. The method can be used to create digital image processing systems in the industry, to create autonomous robots, under observation conditions that complicate the registration process, and in the absence of a priori information about the form of background noise.

scholarly journals Edge Oriented Spatial Image Filtering Technique

2011 ◽  
Vol 31 (2) ◽  
pp. 45-47
Author(s):  
Author N.Ramakrishna ◽  
Author Dr.V.S.Mallela
Keyword(s):  
Image Filtering ◽  
Spatial Image ◽  
Filtering Technique

A Scalable Neuromorphic Architecture to Efficiently Compute Spatial Image Filtering of High Image Resolution and Size

2019 ◽  
Vol 18 (02) ◽  
pp. 327-335
Author(s):  
Marco Abarca ◽  
Giovanny Sanchez ◽  
Luis Garcia ◽  
Juan Gerardo Avalos ◽  
Thania Frias ◽  
...  
Keyword(s):  
Image Filtering ◽  
Image Resolution ◽  
Spatial Image ◽  
High Image Resolution ◽  
Neuromorphic Architecture

scholarly journals A Hybrid Filter for Image Enhancement

2012 ◽  
pp. 45-48
Author(s):  
Vinod Kumar ◽  
Priyanka Priyanka ◽  
Kaushal Kishore
Keyword(s):  
Image Enhancement ◽  
Impulse Noise ◽  
Median Filter ◽  
Wiener Filter ◽  
Image Filtering ◽  
Hybrid Filter ◽  
Object Movement ◽  
Different Types ◽  
The One

Image filtering processes are applied on images to remove the different types of noise that are either present in the image during capturing or introduced into the image during transmission. The salt & pepper (impulse) noise is the one type of noise which is occurred during transmission of the images or due to bit errors or dead pixels in the image contents. The images are blurred due to object movement or camera displacement when we capture the image. This pepper deals with removing the impulse noise and blurredness simultaneously from the images. The hybrid filter is a combination of wiener filter and median filter.

A Scalable Neuromorphic Architecture to Efficiently Compute Spatial Image Filtering of High Image Resolution and Size

2020 ◽  
Vol 18 (02) ◽  
pp. 327-335
Author(s):  
Marco Abarca ◽  
Giovanny Sanchez ◽  
Luis Garcia ◽  
Juan Gerardo Avalos ◽  
Thania Frias ◽  
...  
Keyword(s):  
Image Filtering ◽  
Image Resolution ◽  
Spatial Image ◽  
High Image Resolution ◽  
Neuromorphic Architecture
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