A novel Retinex based enhancement algorithm considering noise

摘要

The traditional center/surround Retinex enhancement algorithms only consider the illuminance. So it may amplify the noise. However image details will be lost in the subsequent denoising process. In this paper, we propose an illuminance-reflectance model(IRMNE) which can denoise the image taken in the low light and enhance it at the same time. IRMNE can overcome the limitations of traditional algorithms. The experiment results indicate the validity and advantage of our algorithm. Compared with other algorithms, IRMNE makes a better balance between image enhancement and image denoising, which helps to get more reliable color restoration results.