To solve the problems of high-time delay and low reliability of consumer UAV video images during the transmission process, this paper proposes a video transmission algorithm suitable for consumer UAVs. With the proposed algorithm, the frames of a received real-time video image are sliced while transmitting images. Color component transform is employed to obtain Y, Cr, and Cb components, which are processed by third-level forward discrete wavelet transformation, bit plane decomposition, image coding, and parallel transmission. Additionally, the receiving process is inversed compared to the sending process. The restored complete image is stored in second-level cache, which is performed by other functions. Wavelet transform ensures image transmission reliability, image coding reduces image transmission load, and image concurrency and secondary buffer reception improve the real-time performance of images. In a WIFI environment with a communication distance of 20m, two common images (resolutions are 640×480 and 1280×720) are tested. The former's average receiving frame ratio, time delay, structural similarity (SSIM), and root mean square error (RMSE) are 47.7frame/s, 35.7ms, 0.984, and 1.61, respectively, and the latter's values are 28.8frame/s, 45.9ms, 0.978, and 2.68, respectively. The experimental results demonstrate that when a consumer UAV is shooting at ultra-low altitude, the proposed algorithm can satisfy the real-time and reliable transmission requirements of a high-definition video stream. Additionally, the proposed algorithm can be applied to other image transmission fields.