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In this paper, we propose the novel image de-blur algorithm based on the wavelet packet transform model and the framework. Wavelet analysis has the characteristics of the multi-resolution, multi-scale, when it is applied to basic image enhancement, wavelet coefficient on different scales in different nonlinear transformation function, the different frequency of the image detail is enhanced, the effect is better than traditional enhancement algorithm. However, due to the wavelet enhancement changes to the brightness of image is not large, the images of the uneven illumination or inadequate, the traditional wavelet enhancement effect. Therefore, we propose wavelet packet transform model for optimization. The effectiveness and feasibility are verified.

A Novel Image De-blur Algorithm based on Wavelet Packet Transform Model and Framework