基于改进K均值聚类的图像修复方法

目的 解决特定工艺条件下灰平衡数据的再现问题。方法 通过在一定工艺条件下，获得青、品、黄、黑等4色阶调复制曲线，并拟合曲线方程，根据方程求取同一密度(理论密度)条件下青、品和黄色的网点面积率，据所得青、品、黄网点面积率设计样本色，检测其色度和密度值(实际密度)。结果 经验证，样本色色度值趋近于0，即证明样本色块趋于中性灰。建立了理论密度值与实际密度值之间的数学模型，再通过该模型和阶调复制曲线方程，获得了该工艺条件下灰平衡数据参数。结论 该方法可以准确获得特定条件下的灰平衡数据参数，为特定工艺条件下灰平衡数据的数字化建模提供了理论依据。

Image Restoration Method Based on Improved K-means Clustering

The work aims to solve the problems regarding on the gray balance data reproduction under specific process conditions. The tone reproduction curves about cyan, magenta, yellow and black under certain process condition were acquired and the curve equations were fitted. The dot area coverage of cyan, magenta and yellow under the same density (theoretical density) were calculated according to the equations. After that, the sample color blocks were further designed based on the obtained dot area coverage and their corresponding chromatic value and density value (actual density) were measured. The results demonstrated that the chromatic value of the designed color blocks was estimated to be 0, which confirmed the neutral gray property of these studied color blocks. Therefore, a mathematical model between the theoretical density value and the actual density value was established, followed by combining the model with color tone reproduction curve equation, hence the parameter data of gray balance under the certain process condition was obtained. This work not only provides a possible way for obtaining the gray balance data under specific process condition, but also offers a theoretical reference for the corresponding digitization modeling of gray balance data.