An adaptive linear transformation image dehazing algorithm based on Gaussian attenuation is proposed. A linear transformation model between the minimum channel of hazy images and that of haze-free images is established. A Gaussian function using the minimum channel of hazy images is constructed to adaptively compensate the transmissivity in the bright region and improve the accuracy of transmissivity. A cross-bilateral filter is used to eliminate the texture effects of transmission, and the image is restored by the atmospheric scattering model. The experimental results show that the proposed algorithm can effectively improve color distortion in the bright regions of images and eliminate the Halo effect at the edge of depth of field. Moreover, the restored image possesses obvious details and suitable saturation.