Prior to the advent of digital image processing technology, image composition primarily used human vision to identify colors and artificially convert them. However, manually synthesizing and transforming graphics images will not only consume a lot of manpower, time, and energy but also due to manual limitations in the process of synthesizing and coloring the pictures, the resulting pictures cannot meet people’s needs. In order to improve the speed and quality of image synthesis, and to synthesize the pictures people need more quickly and accurately, this article synthesizes the image based on the movement calculation across the selected area of the image and analyzes the photographic darkroom special effects of the synthesized image to simulate the artistic effect. Using case analysis method, literature analysis method, and other methods, the database was collected and a model of photographic darkroom stunt simulation artistic effect recognition was built. The results of the study found that the composite image based on the movement calculation across the selected area of the image is better than the composite image of other algorithms, and the quality of hue and saturation is more than 30% higher than other synthesis methods. It should be verified by experiments. The results are significantly different. This shows that the composite image based on moving calculation across the selected area of the image can achieve good results in the photographic darkroom stunt simulation artistic effect.

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基于移动计算的摄影暗室特技模拟跨图像移动选定区域合成图像的艺术效果

在数字图像处理技术出现之前，图像合成主要使用人类视觉来识别颜色并人工转换它们。但是，人工合成和转换图形图像不仅会耗费大量的人力、时间和精力，而且由于人工对图片的合成和着色过程的限制，所得到的图片不能满足人们的需求。为了提高图像合成的速度和质量，更快更准确地合成出人们需要的图片，本文根据跨越图像选定区域的运动计算合成图像，并分析了该图像的摄影暗室特效。合成图像来模拟艺术效果。运用案例分析法、文献分析法等方法，收集数据库，建立摄影暗室特技模拟艺术效果识别模型。研究结果发现，基于跨越图像选定区域的运动计算的合成图像优于其他算法的合成图像，色调和饱和度的质量比其他合成方法高30%以上。应该通过实验来验证。结果明显不同。由此可见，基于跨图像选定区域的移动计算的合成图像在摄影暗室特技模拟艺术效果中可以取得良好的效果。研究结果发现，基于跨越图像选定区域的运动计算的合成图像优于其他算法的合成图像，色调和饱和度的质量比其他合成方法高30%以上。应该通过实验来验证。结果明显不同。由此可见，基于跨图像选定区域的移动计算的合成图像在摄影暗室特技模拟艺术效果中可以取得良好的效果。研究结果发现，基于跨越图像选定区域的运动计算的合成图像优于其他算法的合成图像，色调和饱和度的质量比其他合成方法高30%以上。应该通过实验来验证。结果明显不同。由此可见，基于跨图像选定区域的移动计算的合成图像在摄影暗室特技模拟艺术效果中可以取得良好的效果。