Zobrazeno 1 - 6
of 6
pro vyhledávání: '"R. Vijaykumar"'
Publikováno v:
AEU - International Journal of Electronics and Communications. 68:1145-1155
This paper proposes a fast switching based median–mean filter for high density salt and pepper noise in images. The extreme minimum value and extreme maximum value of the noisy image are used to identify the noise pixels. In the filtering stage, th
Autor:
V. Suresh Babu, V. R. Vijaykumar
Publikováno v:
2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII).
This paper presents an improved reversible data hiding algorithm using digital images based on the histogram shifting technique. Proposed method can accurately recover the original image and extract the hidden data accurately. The highest two peak va
Publikováno v:
2008 9th International Conference on Signal Processing.
In this paper, a new nonlinear filter called detail preserving median based filter for removing salt and pepper noise and random valued impulse noise with edge and detail preservation is presented. The proposed method first detects the impulse pixel
Publikováno v:
International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007).
In this paper a new efficient algorithm for the removal of Gaussian noise in gray scale and color images using adaptive window is presented. The function of the algorithm is to replace each corrupted pixel by a mean value of the pixels inside an adap
Publikováno v:
2007 International Conference on Intelligent and Advanced Systems.
In this paper a new efficient algorithm to remove scratches, stripes and blotches with impulse noise in still images using robust estimation based filter is proposed. A new attempt is made to remove scratches, stripes and blotches that are artificial
Autor:
V. R. Vijaykumar, G. Santhanamari
Publikováno v:
Journal of Electronic Imaging. 23:033011
A new switching-based trimmed median filter to remove high-density salt-and-pepper noise in digital images is proposed. Initially, a 3×3 sliding window is applied on each pixel in the noisy image. The minimum- and maximum-intensity values are trimme