TY - GEN
T1 - Tri-histogram equalization based on first order statistics
AU - Lin, Ping Hsien
AU - Lin, Chun-Cheng
AU - Yen, Hsu Chun
PY - 2009/10/27
Y1 - 2009/10/27
N2 - This paper proposes a novel method, called Statistic-separate Tri-histogram Equalization (SSTHE), to enhance contrasts of images along with excellent brightness preservation. This method segments the original histogram into three regions according to the mean and standard deviation of the image brightness, re-ranges spans of each sub-histogram and executes histogram equalization within each scope respectively. Experiments show that our method provides better brightness preservation than most bi-HE techniques, and reduces artifacts that a large number of sub-histograms produces. In addition, it is efficient with computation, suitable for consumer electronics.
AB - This paper proposes a novel method, called Statistic-separate Tri-histogram Equalization (SSTHE), to enhance contrasts of images along with excellent brightness preservation. This method segments the original histogram into three regions according to the mean and standard deviation of the image brightness, re-ranges spans of each sub-histogram and executes histogram equalization within each scope respectively. Experiments show that our method provides better brightness preservation than most bi-HE techniques, and reduces artifacts that a large number of sub-histograms produces. In addition, it is efficient with computation, suitable for consumer electronics.
UR - http://www.scopus.com/inward/record.url?scp=70350213107&partnerID=8YFLogxK
U2 - 10.1109/ISCE.2009.5156973
DO - 10.1109/ISCE.2009.5156973
M3 - Conference contribution
AN - SCOPUS:70350213107
SN - 9781424429769
T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics
SP - 387
EP - 391
BT - 2009 IEEE 13th International Symposium on Consumer Electronics, ISCE 2009
T2 - 2009 IEEE 13th International Symposium on Consumer Electronics, ISCE 2009
Y2 - 25 May 2009 through 28 May 2009
ER -