For the detail features of the complex degraded images being effectively restored in engineering application, an image enhancement method of the multiple algorithm-fusion was introduced. This fusion algorithm is based on the theory of digital image and integrates the advantages of the Laplace transform, Sobel gradient, box filtering, unsharp masking filter method and gray exponential law strength into the algorithm to enhance the fuzzy images adaptively. The original image, firstly, is decomposed into a base layer, a detail layer and a edge character layer by the Laplace filter and gradient filter. Secondly, the tiny details and edge characteristic information are enhanced and base information is compressed. Then the three layers of the image are processed smoothly and the noise is filtered by the box filtering. Finally, the dynamic range of gray level image is increased by the gray-scale transformation and the unsharp masking method, and the enhanced image is obtained. And under the same load conditons, the proposed method is compared respectively with the traditional algorithms of the HE, AGCWD and WT. The experiment results show that this method can effectively handle the complex images with infection, and the sharpness of the image is increased by 13.1% ~ 126.1%, and avoid the phenomenon of excessive image enhancement, and obtain a superior subjective visual detail effects.