Research on the illumination robust of target recognition
Image enhancement is widely used and approved in the field of business, education and academia. As one classic model of enhancement, Retinex theory based model can obtain high quality results in most cases. However, it is difficult for Retinex theory based model to deal with the problem of color distortion and halo artifacts. Aiming at the problem above, we proposed one multi scale MSRCP algorithm based on guided image filtering. Firstly, we extract the data of image intensity and then estimate the illumination component of the scene base on the guided filter. Next, the combination of different box filter and simplest color balance algorithm contribute to achieve multi scale MSRCP algorithm. Experimental results indicate that our model can eliminate noise, conserve color fidelity and recognize target effectively compared to other traditional methods. More importantly, experimental results using a large database show the superiority and robustness of the proposed method.
2016 IEEE 13th International Conference on Signal Processing (ICSP)