The invention discloses a self-adaptive clearness method suitable for a multi-concentration multi-scene haze image. The method comprises a self-adaptive image sharpening method based on a haze image degradation model and a dark primary color prior model. The self-adaptive image sharpening method is composed of a dark primary color value self-adaptive acquisition method, an atmospheric light intensity self-adaptive estimation method and a sharpening coefficient self-adaptive calculation method, wherein the dark primary color value self-adaptive acquisition method adopts a self-adaptive mode toachieve parameter acquisition or data processing. The invention discloses the self-adaptive sharpening method suitable for a multi-concentration multi-scene haze image, the sharpening parameters are completely obtained according to the characteristics of the haze image, manual parameter setting is not needed, high robustness is achieved in the aspect of multi-concentration and multi-scene haze image sharpening, the obtained sharpening image is large in information amount, high in contrast ratio, clear in image and free of halo phenomenon, and the method is obviously superior to a multi-scale Retinex enhancement sharpening method and a He dark primary color prior restoration sharpening method.