The traditional image stitching method has low processing speed, is inefficient, and unable to meet the requirements for fast and accurate stitching of high-resolution images. This paper proposes an improved algorithm of high-resolution image stitching based on Oriented FAST and Rotated BRIEF (ORB) features. First, based on the ORB feature point extraction, the Hamming distance is used for fast rough matching. Then, the matching point pair is optimized based on the progressive sampling consistency (PROSAC) algorithm. Next, after removing the mismatch point pair, the image transformation matrix is solved. Finally, the weighted fusion algorithm is used to fuse the overlapping areas of the image to remove the stitching traces. Experimental results show that the proposed algorithm not only has more advantages in processing speed but also has a higher matching accuracy compared to traditional algorithms. In addition, it can realize fast and accurate stitching of high-resolution images.