Images of different grayscale levels

Study Dip No. 0 Day

For more details, refer to: http://tony4ai.com/2014/11/06/dip-1-1-images of different grayscale levels

Conclusion: For more detailed images, when the image size (N) is constant, the gray level is relatively independent of the sensory quality;

Explanation: If the image detail is more, lower the gray level, the visual feeling is not very different

Code writing is arbitrary and performance optimizations are not performed. Only for observation effect:

#define K 1//Grayscale level
#define STEP (256/(1<<k))
int main () {
	//char name[50];
	Iplimage * image = Cvloadimage ("E:\\opencv_image\\airplane.jpg", 0);
	Iplimage * result = Cvcreateimage (cvgetsize (image), 8,1);
	Cvnamedwindow ("original");
	Cvnamedwindow ("transform");
	Cvshowimage ("original", image);
	for (int i=0;i<image->width;i++) for
		(int j=0;j<image->height;j++) {
			int value=cvgetreal2d ( IMAGE,I,J);
			int step=step;
			while (value>step) {
				step+=step;	
			}
			Value=step;
			cvsetreal2d (Image,i,j,value);
		}
	Cvshowimage ("transform", image);
	sprintf (name, "%s%d%s", "E:\\opencv_image\\airplane_", K, ". jpg");
	Cvsaveimage (name,image);
	Cvwaitkey ();
	Cvreleaseimage (&image);
	return 0;
	
}

Above three pictures from left to right from top to bottom, respectively: Original image, k=1,2,3,4,5,6,7,8 (1-order two-valued image, 8-order image grayscale)

Question: How much does a picture in the same resolution evaluate its details ...