Image processing method capable of improving the display quality of image frames
An image processing method is provided. An image signal is received and correspondingly converted to an original luminance value, an original first chroma value and an original second chroma value. The original luminance value is adjusted to a modulated luminance value. The modulated luminance value is larger than the original luminance value as the original luminance value is larger than a threshold. The modulated luminance value is less than the original luminance value as the original luminance value is less than the threshold. The original first and second chroma values are linearly adjusted to a modulated first chroma value and a modulated second chroma value according to an original vector between the original first and second chroma values and a white point in a color gamut. The modulated luminance value, the modulated first chroma value and the modulated second chroma value are reconverted to a modulated image signal.
1. An image processing method, comprising:
converting an image signal to an original luminance value, an original first chroma value and an original second chroma value;
adjusting the original luminance value to a adjusted luminance value, wherein the adjusted luminance value is larger than the original luminance value as the original luminance value is larger than a threshold, and the adjusted luminance value is less than the original luminance value as the original luminance value is less than the threshold;
linearly adjusting the original first chroma value and the original second chroma value to a adjusted first chroma value and a adjusted second chroma value according to an original vector between the original first chroma value and the original second chroma value and a white point in a color gamut; and
reconverting the adjusted luminance value, the adjusted first chroma value and the adjusted second chroma value to a adjusted image signal, and outputting the adjusted image signal.
2. The image processing method according to claim 1 , wherein the image signal is a YUV signal.
3. The image processing method according to claim 1 , wherein the image signal is an RGB signal.
4. The image processing method according to claim 3 , further comprising:
converting a set of RGB pixel values of the RGB signal to a set of RGB stimulus values; and
converting the set of RGB stimulus values to the original luminance value, the original first chroma value and the original second chroma value.
5. The image processing method according to claim 1 , wherein the original luminance value, the original first chroma value and the original second chroma value belong to a CIE xyY color space.
6. The image processing method according to claim 1 , wherein the original luminance value, the original first chroma value and the original second chroma value belong to a CIE LAB color space.
7. The image processing method according to claim 1 , wherein the original luminance value, the original first chroma value and the original second chroma value belong to a CIE LUV color space.
8. The image processing method according to claim 1 , further comprising:
sensing change of ambient light by an ambient light photo sensor (ALPS), and accordingly adjusting the original luminance value to the adjusted luminance value.
9. The image processing method according to claim 1 , wherein the adjusted first chroma value and the adjusted second chroma value are within the color gamut range.
10. The image processing method according to claim 1 , further comprising:
linearly adjusting the original first chroma value and the original second chroma value to the adjusted first chroma value and the adjusted second chroma value according to the original vector and a color purity corresponding to the image signal.
11. The image processing method according to claim 10 , wherein a adjusted vector between the adjusted first chroma value and the adjusted second chroma value and the white point in the color gamut is k times of the original vector, k is larger than or equal to 1.
12. The image processing method according to claim 11 , wherein the smaller the color purity, the larger the value of k.
13. The image processing method according to claim 10 , wherein the image signal is an RGB signal with a set of RGB pixel values, and the color purity is a difference between a maximum pixel value and a minimum pixel value of the set of RGB pixel values.