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    • 9. 发明申请
    • Block noise level evaluation method for compressed images and control method of imaging device utilizing the evaluation method
    • 利用评估方法对压缩图像的块噪声水平评估方法和成像装置的控制方法
    • US20060034531A1
    • 2006-02-16
    • US11125326
    • 2005-05-10
    • Eunice PoonMegumi KandaIan Clarke
    • Eunice PoonMegumi KandaIan Clarke
    • G06K9/36G06K9/40
    • H04N17/004G06T7/0002G06T2207/30168H04N19/60H04N19/86H04N21/485
    • The technique of the invention converts an object RGB image into an image in a YIQ color space, calculates a luminance variation at each target pixel from Y channel values of the target pixel and an adjacent pixel adjoining to the target pixel, and computes a smoothness degree of luminance variation at the target pixel as summation of absolute values of differences between luminance variations at the target pixel and adjacent pixels. A block noise evaluation value B is obtained as a ratio of an average smoothness degree ave(psx), ave(psy) of luminance variation for boundary pixels located on each block boundary to an average smoothness degree ave(nsx), ave(nsy) of luminance variation for inner pixels not located on the block boundary. The block noise evaluation value B closer to 1 gives an evaluation result of a lower level of block noise, whereas the block noise evaluation value B closer to 10 gives an evaluation result of a higher level of block noise.
    • 本发明的技术将目标RGB图像转换为YIQ色彩空间中的图像,从与目标像素相邻的目标像素和相邻像素的Y个通道值计算每个目标像素处的亮度变化,并计算平滑度 在目标像素处的亮度变化的值作为目标像素和相邻像素的亮度变化之间的差的绝对值的和。 获得块噪声评估值B作为位于每个块边界上的边界像素的亮度变化的平均平滑度ave(psx),ave(psy)与平均平滑度ave(nsx),ave(nsy) 对于不位于块边界的内部像素的亮度变化。 更接近于1的块噪声评估值B给出了较低级别的块噪声的评估结果,而接近于10的块噪声评估值B给出了较高级别的块噪声的评估结果。