Image Enhancement Algorithm Based on Wavelet Frequency Division Histogram Equalization
Jin Wu · Modern Electronics Technique · 2010
The traditional histogram equalization processing algorithm lost image details and enhanced noise signal while it enhanced image,which led to the descent of information entropy.A high brightness image enhancement algorithm based on wavelet frequency division and histogram equalization is put forward in combination with the characteristics of multi-scale and multi-resolution of wavelet transform and the predominance of histogram equalization.At first,the image is divided into the low frequency parts and the high frequency parts,and histogram equalization processing is only applied to the low frequency parts.Then,the wavelet is reconstituted by the low frequency parts which have been equalized with the original high frequency parts.The experimental results show that this algorithm can enhance image of high brightness effectively.