Fast estimate of Hartley entropy in image sharpening

2016 ◽  
Author(s):  
Zuzana Krbcová ◽  
Jaromír Kukal ◽  
Jan Svihlik ◽  
Karel Fliegel
Keyword(s):  
Image Sharpening ◽  
Hartley Entropy

Bi-level image sharpening method based on parallel computing

2013 ◽  
Vol 33 (8) ◽  
pp. 2325-2329
Author(s):  
Wei ZHANG ◽  
Xing HE ◽  
Yingxiang HUO ◽  
Shaohua TENG ◽  
Yi TENG ◽  
...  
Keyword(s):  
Parallel Computing ◽  
Image Sharpening

Deep Multiscale Detail Networks for Multiband Spectral Image Sharpening

2020 ◽  
pp. 1-15 ◽  
Author(s):  
Xueyang Fu ◽  
Wu Wang ◽  
Yue Huang ◽  
Xinghao Ding ◽  
John Paisley
Keyword(s):  
Spectral Image ◽  
Image Sharpening

A Method for Printing Image Sharpening Based on the Principle of Electronic Scanners

2014 ◽  
Vol 543-547 ◽  
pp. 2368-2372
Author(s):  
Ju Hua Liang ◽  
Jun Qian
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Side Effect ◽  
Subjective Evaluation ◽  
Differential Method ◽  
Statistic Analysis ◽  
Assessment Data ◽  
Image Sharpening ◽  
Unsharp Mask

For enhancing printing images quality so as to meet human visual needs, two ways of scanners clarity compensating by optical unsharp-mask and electronic second differential had been devoted based on investigating the cause of cut down on presswork definition produced by printing, the advantages of the twofold method which combine the two was also discussed in the thesis. The method of applying the technique was proposed in digital image processing. Tests had been done on standard images by the suggested method in Matlab, normal ways of USM and second differential were also used for comparing, printing proofs were made after manipulation for subjective evaluation on sharpening degree, statistic analysis on assessment data was also made, which shows that: the second differential method will bring the highest clarity on images with the side-effect of too heavy edges, USM can get relative mild margins and slightly lacking of distinct, the twofold method get preferable contour strengthen and smoothness, it can be used in printing image sharpening.

scholarly journals An Image Sharpening Method by Suppressing the Noise

2012 ◽  
Vol 51 (16) ◽  
pp. 14-22 ◽  
Author(s):  
Smrity Prasad ◽  
N. Ganesan
Keyword(s):  
Image Sharpening
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