Fog-Degraded Image Clearness Based on Wavelet Fusion

In view of problems of low in contrast gradient and fuzzy in imaging quality, it proposed a wavelet fusion method. Wavelet transform, histogram equalization and non-linear operator are used to process synthetically fog-degraded Image based on the existent image enhancement method. Histogram equalization is processed fog-degraded image firstly, then wavelet transform is used to decompose the image, non-linear operator is used to enhance high-frequency part of the decomposition image lastly. The experiments show that the combination method compared with conventional methods can not only obviously improve image contrast but also enhance the image edge details and texture property, and achieve a better result of clearness.