Wavelet transform of a gray-scale image in a finite GF(2) field

2021 ◽  
Vol 88 (2) ◽  
pp. 87
Author(s):  
V. N. Gorbachev ◽  
A. Ya. Kazakov ◽  
M. Yu. Savel’eva
Keyword(s):  
Wavelet Transform ◽  
Gray Scale ◽  
Gray Scale Image

Application of image enhancement and pattern recognition algorithms to seismic reflection data

1983 ◽  
Vol 73 (1) ◽  
pp. 307-314
Author(s):  
George A. McMechan
Keyword(s):  
Pattern Recognition ◽  
Pacific Ocean ◽  
Image Enhancement ◽  
Seismic Reflection ◽  
Gray Scale ◽  
Seismic Reflection Data ◽  
Reflection Data ◽  
Recognition Algorithms ◽  
Gray Scale Image ◽  
Northeastern Pacific

abstract A digital seismic reflection section may be converted to a gray scale image composed of pixels and processed with techniques borrowed from the disciplines of image enhancement and pattern recognition. Types of processing include scaling, thresholding, density equalization, filtering, segmentation, and edge-finding. These are successfully applied to a migrated common mid-point seismic reflection line that traverses the Queen Charlotte fault (located in the northeastern Pacific Ocean). The result is the definition and enhancement of an elongated, near-vertical reflectivity anomaly associated with the Queen Charlotte fault.

scholarly journals Video Colorization Methods: a Survey

2020 ◽  
pp. 675-686
Author(s):  
Mathel Emaduldeen A-Monem ◽  
Tareq Zaid Hammood
Keyword(s):  
Gray Scale ◽  
Huge Number ◽  
Gray Scale Image

Nowadays, there are a huge number of video colorization methods. This is because in the gray scale image one value (gray) must be converted into three corresponding values (RGB). In this paper, some of these methods have been presented and discussed. Then, different comparisons have been established between these methods and the results demonstrate the efficiency of each method.

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