A novel tone mapping algorithm based on principal component analysis ( PCA) and guided filter is proposed to address the problem of color cast and low efficiency in th e previous algorithms.Firstly, the adaptive gamma correction is adopted to compress the dynamic range in dark a nd light areas according to the average brightness of high dynamic range (HDR) image.Then R,G,B color channels of the image are converted to the orthogonal space by PCA method.The dynamic ran ge of the first principal component is compressed by the curve to simulate the camera response f unct ion (CRF). Combining with two weighted chrominance components,the result is transformed to a new image by PCA inverse transform.Finally,a fast guided filtering method for image enhance ment is implemented to improve image contrast while avoiding the halo phenomenon.Compared with the clas sical algorithm of iCAM06,it improves the efficiency by more than 4times.Exp erimental results show that the algorithm can effectively avoid the phenomena of color cast and halo.The result owns mor e clear details with rich natural colors.This algorithm can be easily integrated into the visual pro cess system in conventional portable display device,the wearable intelligent visual aids and no screen disp lay for the emerging field.