Color image enhancement by fuzzy intensification

Pattern Recognition Letters

Volumn 24, Issue 1-3, 2003, Pages 81-87

  Hanmandlu, M ^a   Jha, Devendra ^a   Sharma, Rochak ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

^b DELHI TECHNOLOGICAL UNIVERSITY   (India)

Author keywords

Color enhancement; Entropy; Fuzzifier; Fuzzy contrast; Fuzzy logic; Image processing; Index of fuzziness; Intensification operator

Indexed keywords

COLOR IMAGE PROCESSING; ENTROPY; REDUCTION;

FUZZY INTENSIFICATION;

PATTERN RECOGNITION;

COLOR; FUZZY MATHEMATICS; IMAGE PROCESSING;

EID: 0037233508     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(02)00191-5     Document Type: Article

References (12)

1. Choi, Y.S., Krishnapuram, R., 1997. A robust approach to image enhancement based on fuzzy logic. IEEE Trans. Image Process. 6 (6), 808-825.
2. Gauch, J.M., 1992. Investigation of Image contrast space defined by variation of histogram equalization. Graph. Models Image Process. 54 (4), 269-280.
3. Gonzalez, R.C., Woods, R.E., 1992. Digital Image Processing. Addison-Wesley, Reading, MA.
4. Hanmandlu, M., Tandon, S.N., Mir, A.H., 1997. A new fuzzy logic based image enhancement, 34th Rocky Mountain Symposium on bioengineering, Dayton, Ohio, USA, pp. 590-595.
5. Hauli, Yang, H.S., 1989. Fast and Reliable Image Enhancement using Fuzzy Relaxation Technique. IEEE Trans. Sys. Man. Cybern. SMC 19 (5), 1276-1281.
6. Jimmermann, H.J., 1991. Fuzzy Set Theory and its Applications, second ed. Kluwer Academic Publishers, Dordrecht.
7. Lee, J.-S., 1980. Digital Image Enhancement and noise filtering. IEEE Trans. Pattern Anal. Machine Intell. 2, 165-168.
8. Lindenbaum, M., Fischer, M., Bruckestein, A., 1994. On Gabor's Contribution to Image Enhancement. Pattern Recogn. 7, 1-8.
9. Mukherjee, P., Chatterji, B.N., 1995. Note: Adaptive Neighbourhood Extended Contrast Enhancement and its Modifications. Graph. Models Image Process. 57 (3), 254-265.
10. Pal, S.K., King, R.A., 1981. Image enhancement using smoothing with Fuzzy Sets. IEEE Trans. Sys. Man Cybern. SMC-11, 494-501.
11. Russo, M., Ramponi, G., 1995. A fuzzy operator for the enhancement of blurred and noisy images. IEEE Trans. Image Process. 4 (8), 1169-1174.
12. Zadeh, L.A., 1973. Outline of a new approach to the analysis of complex systems and decision processes. IEEE Trans. Sys. Man Cybern. SMC-3, 29-44.