Quality Analysis and Improvement of 3D Panoramic Stitching Sequence Image

Jiapei Zhang, Jingbing Wu, Hanxi Wang
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引用次数: 0

Abstract

Using a computer to splice images with overlapping parts is the current mainstream method for 3D panorama construction. However, the quality of the spliced sequence images cannot be guaranteed due to the uneven quality of the resulting panorama. Aiming at quality problems such as inconsistent brightness and contrast of stitched sequence images and easy noise generation during the shooting process, a batch quality improvement process for multiple sequence images required for 3D panorama construction is proposed, which is different from single image processing; firstly, the median value is used The filtering method is used to denoise multiple sequential images, secondly to make the gray range of multiple images consistent, and finally to improve the contrast of the sequential images by using histogram equalization. Experimental results show that this method has a good effect on improving the quality of 3D panorama stitching sequence images.
三维全景拼接序列图像质量分析与改进
利用计算机拼接具有重叠部分的图像是目前构建三维全景图的主流方法。然而,由于拼接后的全景图像质量参差不齐,拼接后的序列图像质量无法得到保证。针对拼接序列图像亮度、对比度不一致、拍摄过程中容易产生噪声等质量问题,提出了一种不同于单幅图像处理的多幅序列图像构建三维全景图像的批量质量改进流程;首先利用中值滤波方法对多幅序列图像进行降噪,其次使多幅图像的灰度范围一致,最后利用直方图均衡化方法提高序列图像的对比度。实验结果表明,该方法对提高三维全景拼接序列图像的质量有较好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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