基于多尺度分解的低分辨率彩色图像恢复

A. B, H. S G, Manimegalai L, Naveenkumar M
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引用次数: 0

摘要

对不平衡闪电损害的微光图像进行评估和压缩,是提高图像清晰度的一种成功方法。由于计算不准确,在改进后的图像中,一些先前的方法如边缘会受到影响。加权最小二乘多尺度图像分解模型的目标是尽可能有效地分离光层。通过调整光照层来获得后期增强效果。将所提出的分解模型应用于HSV空间的值通道,避免了由于光照调整引起的色彩伪影,降低了计算复杂度。实验结果表明,该方法可以很好地处理大范围的模糊图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Color Image Restoration from Low Resolution Based on Multiscale Decomposition
A successful method for improving the clarity of dim light image that has been compromised by unbalanced lightning is to evaluate and compress the lightning portion. Due to inaccurate calculation, some previous approaches like edges are affected in improved image. The weighted least square multi scale image decomposition model's goal is to separate the light layer as effectively as possible. Later enhancement effect is obtained by adjusting the illumination layer. The proposed decomposition model is used to the value channel in HSV space in order to avoid colour artefacts caused by illumination adjustments and reduce computing complexity. Experiments reveal that the advance approach works well with a outspread range of dim images.
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