Color correction based image blending for creating high resolution panoramic images on mobile devices

Yingen Xiong, K. Pulli
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引用次数: 5

Abstract

We present a color correction based image blending approach which is capable of combining a set of aligned source images to a composite image and implement it in a mobile panorama system for creating high-resolution panoramic images on mobile devices. Our color correction is performed in the gamma-corrected RGB color space [2009a]. A global adjustment process is used for smoothing color transition in the whole image sequence and reducing cumulative errors. Unlike the work [2009a] which focuses on solving pixel saturation problems in using diagonal models [2002] in the RGB color space, here we are focusing on improving the blending quality and speed for long image sequences. We compare results and performance with a global blending approach [2009b] to demonstrate advantages of the color correction based image blending approach in creating high-resolution panoramic images on mobile devices.
用于在移动设备上创建高分辨率全景图像的基于颜色校正的图像混合
我们提出了一种基于颜色校正的图像混合方法,该方法能够将一组对齐的源图像组合为合成图像,并在移动全景系统中实现,用于在移动设备上创建高分辨率全景图像。我们的色彩校正是在经过伽玛校正的RGB色彩空间中进行的[2009a]。采用全局调整过程平滑整个图像序列的颜色过渡,减少累积误差。与研究[2009a]不同,[2002]的重点是在RGB色彩空间中使用对角线模型来解决像素饱和问题,这里我们关注的是提高长图像序列的混合质量和速度。我们将结果和性能与全局混合方法[2009b]进行比较,以证明基于颜色校正的图像混合方法在移动设备上创建高分辨率全景图像方面的优势。
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