Gray Scale Image Colorization for Human Faces

Author(s):  
Sarika Zaware ◽  
Divya Pathak ◽  
Vaidehi Patil ◽  
Gauri Sangale ◽  
Vranda Gupta
2021 ◽  
Author(s):  
Sarika Zaware ◽  
Divya Pathak ◽  
Vaidehi Patil ◽  
Gauri Sangale ◽  
Vranda Gupta

2012 ◽  
Vol 8 (1) ◽  
pp. 7
Author(s):  
Imron Rosyadi

<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>


1983 ◽  
Vol 73 (1) ◽  
pp. 307-314
Author(s):  
George A. McMechan

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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