The study of logarithmic image processing model and its application to image enhancement

G Deng; L W Cahill; G R Tobin

doi:10.1109/83.370681

The study of logarithmic image processing model and its application to image enhancement

IEEE Trans Image Process. 1995;4(4):506-12. doi: 10.1109/83.370681.

Authors

G Deng¹, L W Cahill, G R Tobin

Affiliation

¹ Dept. of Electron. Eng., La Trobe Univ., Bundoora, Vic.

PMID: 18290000
DOI: 10.1109/83.370681

Abstract

Describes a new implementation of Lee's (1980) image enhancement algorithm. This approach, based on the logarithmic image processing (LIP) model, can simultaneously enhance the overall contrast and the sharpness of an image. A normalized complement transform has been proposed to simplify the analysis and the implementation of the LIP model-based algorithms. This new implementation has been compared with histogram equalization and Lee's original algorithm.