IMAGE DENOISING WITH EDGE ENHANCEMENT USING THE WAVELET TRANSFORMATION IN VEHICLE LICENSE PLATE RECOGNITION
This work was supported by the State 863 Program (2003AA148040), the National Natural Science Foundation of China (grant number 10471151,60216263, 6990312), New Century Excellent Talent Support Project of Chinese Ministry of Education, Doctor Station Foundation of Chinese Ministry of Education, Chongqing Tackle Key Problem Program and Chongqing Natural Science Foundation.
Drawing on the rich theory of wavelets, a new method for vehicle license plate image denoising with edge preservation and enhancement is proposed in this paper, based on image multi-resolution decomposition by a redundant wavelet transform. As the experimental results show, a noticeable enhancement of number plate image quality(less noise without loss of important details) can be obtained by using this method. Furthermore, a good base for future segmentation or recognition is built.
