Correction of fixed pattern background and restoration of JPEG compressed CCD images

M. Datcu, G. Schwarz, K. Schmidt, C. Reck
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引用次数: 0

Abstract

Summary form only given; substantially as follows. The present paper addresses the problem of the removal of the sensor background patterns, dark current and responsivity, from CCD images, when the uncorrected image was transmitted through a JPEG like block transform coding system. The work is of particular interest for imaging systems which operate under severe hardware restrictions, and require high accuracy, e.g. deep space cameras. The complexity of the problem comes from the aliasing of the image signal and CCD background patterns during the quantization in the transformed domain. The authors investigated several solutions and selected the optimal one based on three objectives: the radiometric accuracy, the visual quality, and the computational complexity. The solution selected for the background pattern removal and image restoration uses a combination of different methods: correction in space domain and iterative regularization in both space and DCT domain.
固定图案背景的校正和JPEG压缩CCD图像的恢复
只提供摘要形式;大体上如下。本文研究了在采用类似JPEG的块变换编码系统传输未校正图像时,CCD图像中传感器背景图案、暗电流和响应性的去除问题。这项工作对在严格的硬件限制下运行并要求高精度的成像系统特别感兴趣,例如深空相机。问题的复杂性来自于变换域量化过程中图像信号和CCD背景图案的混叠。作者从辐射测量精度、视觉质量和计算复杂度三个方面研究了几种解决方案,并选择了最优方案。所选择的背景模式去除和图像恢复的解决方案使用了不同方法的组合:空间域的校正和空间和DCT域的迭代正则化。
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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