Image processing apparatus and image processing method
An image processing apparatus and an image processing method are provided. The image processing apparatus includes a first image capturing apparatus, a second image capturing apparatus, a storage apparatus, and a processor. The first image capturing apparatus captures a color image. The second image capturing apparatus captures a grayscale image. The storage apparatus stores multiple program modules. The processor is coupled to the first image capturing apparatus, the second image capturing apparatus, and the storage apparatus. The processor is configured to obtain a reference area according to the grayscale image, calculate a luminance value according to the color image and the reference area, adjust luminance of the color image according to the luminance value, and output the adjusted color image.
1 . An image processing apparatus, comprising:
a first image capturing apparatus, capturing a color image;
a second image capturing apparatus, capturing a grayscale image and a background grayscale image;
a storage apparatus, storing a plurality of program modules; and
a processor, coupled to the first image capturing apparatus, the second image capturing apparatus, and the storage apparatus, wherein the processor:
obtains a reference area according to the grayscale image;
calculates a luminance value according to the color image and the reference area;
compares the grayscale image to the background grayscale image, and the reference area is obtained;
adjusts luminance of the color image according to the luminance value;
in response to the luminance value being less than a preset luminance, adjusts the luminance of the color image to the preset luminance; and
outputs the adjusted color image.
2 . The image processing apparatus according to claim 1 , wherein the processor further:
removes the background grayscale image from the grayscale image, and the reference area is obtained.
3 . The image processing apparatus according to claim 1 , wherein the reference area is an area of a human image.
4 . The image processing apparatus according to claim 3 , wherein the processor further:
in response to the luminance value being greater than the preset luminance, maintains the luminance of the color image.
5 . The image processing apparatus according to claim 1 , wherein the reference area is an area of a light image, and the processor further:
in response to the luminance value being greater than or equal to a threshold value, reduces luminance of a pixel position corresponding to the reference area in the color image.
6 . The image processing apparatus according to claim 5 , wherein the processor further:
in response to the luminance value being less than the threshold value, maintains the luminance of the pixel position corresponding to the reference area in the color image.
7 . The image processing apparatus according to claim 5 , wherein the processor further:
sets the luminance of the pixel position corresponding to the reference area in the color image to a preset light luminance.
8 . The image processing apparatus according to claim 5 , wherein the processor further:
removes the luminance of the pixel position corresponding to the reference area in the color image.
9 . The image processing apparatus according to claim 5 , wherein the processor further:
performs auto-exposure (AE) on the color image again, and the luminance of the color image is adjusted.
10 . An image processing method, comprising:
obtaining a reference area from a grayscale image, comprises
capturing a background grayscale image; and
comparing the grayscale image to the background grayscale image, and the reference area being obtained;
calculating a luminance value according to a color image and the reference area;
adjusting luminance of the color image according to the luminance value;
in response to the luminance value being less than a preset luminance, adjusting the luminance of the color image to the preset luminance; and
outputting the adjusted color image.
11 . The image processing method according to claim 10 , wherein comparing the grayscale image to the background grayscale image to obtain the reference area comprises:
removing the background grayscale image from the grayscale image, and the reference area being obtained.
12 . The image processing method according to claim 10 , wherein the reference area is an area of a human image.
13 . The image processing method according to claim 12 , wherein adjusting the luminance of the color image according to the luminance value further comprises:
in response to the luminance value being greater than the preset luminance, maintaining the luminance of the color image.
14 . The image processing method according to claim 10 , wherein the reference area is an area of a light image, and adjusting the luminance of the color image according to the luminance value comprises:
in response to the luminance value being greater than or equal to a threshold value, reducing luminance of a pixel position corresponding to the reference area in the color image.
15 . The image processing method according to claim 14 , wherein adjusting the luminance of the color image according to the luminance value further comprises:
in response to the luminance value being less than the threshold value, maintaining the luminance of the pixel position corresponding to the reference area in the color image.
16 . The image processing method according to claim 14 , wherein reducing the luminance of the pixel position corresponding to the reference area in the color image comprises:
setting the luminance of the pixel position corresponding to the reference area in the color image to a preset light luminance.
17 . The image processing method according to claim 14 , wherein reducing the luminance of the pixel position corresponding to the reference area in the color image comprises:
removing the luminance of the pixel position corresponding to the reference area in the color image.
18 . The image processing method according to claim 14 , wherein adjusting the luminance of the color image according to the luminance value further comprises:
performing auto-exposure (AE) on the color image again, and the luminance of the color image being adjusted.