Gray Scale Image Colorization for Human Faces

2021 ◽  
Author(s):  
Sarika Zaware ◽  
Divya Pathak ◽  
Vaidehi Patil ◽  
Gauri Sangale ◽  
Vranda Gupta
Keyword(s):  
Gray Scale ◽  
Image Colorization ◽  
Gray Scale Image ◽  
Human Faces

Gray Scale Image Colorization for Human Faces

2021 ◽  
Author(s):  
Sarika Zaware ◽  
Divya Pathak ◽  
Vaidehi Patil ◽  
Gauri Sangale ◽  
Vranda Gupta
Keyword(s):  
Gray Scale ◽  
Image Colorization ◽  
Gray Scale Image ◽  
Human Faces

Gray scale image colorization using normalized cross correlation

2016 ◽  
Author(s):  
Abul Hasnat ◽  
Santanu Haider ◽  
Debotosh Bhattacharjee ◽  
Mita Nasipuri
Keyword(s):  
Cross Correlation ◽  
Gray Scale ◽  
Image Colorization ◽  
Normalized Cross Correlation ◽  
Gray Scale Image

scholarly journals Gray-Scale Image Colorization Using Various Affinity Functions

2012 ◽  
Vol 8 (1) ◽  
pp. 7
Author(s):  
Imron Rosyadi
Keyword(s):  
Gray Scale ◽  
Image Colorization ◽  
Gray Scale Image ◽  
Historical Image

<p>In this paper, we have proposed, implemented, and compared some affinity functions for an image colorization algorithm. The colorization qualityof the proposed affinityfunctions was just slightly behind the original functions, while one of the proposed functions performed faster than the original affinity function. We also implemented the colorization algorithm for coloring an Indonesian historical image.</p>

Gray Scale Image Coloring Method Based on GAN

2020 ◽  
Author(s):  
Long Guo ◽  
Lu Liang ◽  
Shi Zeng ◽  
Ji He ◽  
Gaoshang Dai
Keyword(s):  
Gray Scale ◽  
Gray Scale Image

A survey of quality measures for gray scale image compression

1993 ◽  
Author(s):  
Ahmet Eskicioglu ◽  
Paul Fisher
Keyword(s):  
Image Compression ◽  
Quality Measures ◽  
Gray Scale ◽  
Gray Scale Image

Spectral- and discrete-function-based gray-scale image compression

2002 ◽  
Author(s):  
Bogdan J. Falkowski
Keyword(s):  
Image Compression ◽  
Gray Scale ◽  
Discrete Function ◽  
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.

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