Key Technology Of High-quality And Fast Panoramic Scene Reproduction

As an image-based rendering technology,panoramic scene reproduction directly processes the captured image,achieving fast and the strong sense of reality.It has been widely used in medicine,remote sensing image processing,agriculture,aviation and tourism.Color correction and image blending are the key issues in the generation of high-quality panoramas.The generation efficiency and quality are primarily determined by selecting a reference image for color correction and an image blending algorithm.To determine a reference image,state-of-the-art methods compare the similarity of all target images,which is computationally complex with poor real-time responsiveness.In addition,a contradiction exists between the quality and speed in image blending.Therefore,a high-quality panoramic image should be rapidly generated to reproduce panoramic scenes.To solve the above problems,this study presents an efficient method in selecting a reference image for color correction and a partition blending method that differentiates the overlapping area.The quality of an image is usually inversely proportional to the stability of an image;thus,a greedy strategy is adopted to determine the best reference image and reduce the computational complexity.The worst quality image is selected as the baseline,which is determined based on the relative standard deviation of the image pixels of adjacent images.The similarity between the original and corrected baselines is used to determine whether an input image is appropriate to be used as the reference image,such that the complexity for selecting a reference image is remarkably reduced while guaranteeing the need for color correction.To relieve the contradiction exists between the quality and speed in image blending,Partition blending is proposed.The overlapping region is divided into seam and non-seam regions,Poisson blending is performed in the seam region,and linear correction is conducted in the non-seam region to obtain a high-quality image.A simple point-light source is added to solve the light inconsistency generated by the aforementioned processes and improve the quality of the panorama.Subjective and objective evaluations show interesting results for the proposed method.For the subjective evaluation,the methods can produce a panoramic scene with consistent color styles and can maintain the original details.For the objective evaluation,the structural similarity of the image after color correction is controlled between 0.85 and 0.99,the time complexity is reduced to O(n)from the originalO(n~2),the image information entropy is close to Poisson blending after the partition blending,and the time consumption is 72%lower than that of its original.In addition,we use a PC-based questionnaire method and an OG–IQA algorithm to compare the quality of the panorama generated by PTGui,OpenCV,Xiong's method,and our proposed method.Results show that our proposed method performs best in most cases.Experiments demonstrate that our proposed method works well in various scenarios.The time consumption is reduced and good visual effect is ensured,and the method can be widely used in generating high-quality panoramic scene.