TY  - JOUR
IS  - 1
SP  - 29
N1  - cited By 20
Y1  - 2010///
A1  - Asmare, M.H.
A1  - Asirvadam, V.S.
A1  - Iznita, L.
A1  - Hani, A.F.M.
ID  - scholars1336
TI  - Image enhancement by fusion in contourlet transform
SN  - 20856830
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-79955962537&doi=10.15676%2fijeei.2010.2.1.3&partnerID=40&md5=ee63b2fee40d27ddf9791b66078568df
PB  - School of Electrical Engineering and Informatics
EP  - 42
AV  - none
JF  - International Journal on Electrical Engineering and Informatics
VL  - 2
N2  - Most existing image enhancement algorithms work on a single image. Their performance is limited to the capacity of the sensor by which the image is taken. In some cases they completely fail to provide us the necessary enhancements. This paper proposes a composite image approach for enhancing still images. The approach proposed combines the relevant features of the input images and produce a composite image which is rich in information content for human eye. The input images are first decomposed into multiple resolutions by using the contourlet transform which provides a better representation than the conventional transforms. Transformed coefficients are combined with a predefined fusion rules. The resultant image is found by performing inverse contourlet transformation of the composite image. The results found are encouraging and the algorithm does not introduce any distortion for applications in low light and/or non uniform lighting conditions. The composite image also contains almost all of the salient features of the input images.
ER  -