Image Processing Reference
InDepth Information
Mean
Standard Deviation Time Consuming (s)
Source image
43.9788
37.4953
Michael Elad
85.4186
28.9512
177.513603
MSRCR
145.5552 27.6842
13.096727
proposed algorithm 94.7658
32.4271
1.450654
As can be seen in
Tables
1

6
, in terms of the mean, MSRCR algorithm has the most signiic
ant effect of improving mean, but the enhanced images are too bright overall to protect details.
Compared with the algorithm of Michael Elad, the proposed algorithm has a beter enhancing
effect of the mean which displays the brightness of the whole picture is consistent with human
visual perception. In terms of standard deviation, the proposed algorithm is better than the
other two algorithms. The proposed algorithm has remarkable enhancement of the image con
trast and significant effect of image detail recovery. In terms of time consuming, the proposed
algorithm has lower time complexity than the other two algorithms. Moreover, our algorithm
does not need manual control parameters increasing the adaptability of our algorithm.
Mean
Standard Deviation Time Consuming (s)
Source image
37.186166
32.700994
Michael Elad
87.693053
47.901984
306.097388
MSRCR
141.732310 45.151938
27.631109
proposed algorithm 101.8945
55.9020
2.418071
Mean
Standard Deviation Time Consuming (s)
Source image
19.9751 37.1902
Michael Elad
61.4820 36.6652
163.483256
MSRCR
98.9313 36.8997
14.983709
proposed algorithm 84.8932 43.4253
1.330059
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