1. A machine implemented method of compensating an image of a display panel, the method comprising: capturing a plurality of full pattern images corresponding to a plurality of full grayscales, each full pattern image being the image of an entire display area of the display panel; measuring luminance and color of the plurality of full pattern images, each of the full pattern images including a single full grayscale of the full gray scales; measuring luminance and color of a multi pattern image, the multi pattern image including a plurality of multi grayscales; generating a first compensating value to displace a position of a multi grayscale region in the multi pattern image to a central portion of the multi pattern image; and compensating luminance and color of the display panel based on the luminance and the color of the full pattern image, the luminance and the color of the multi pattern image and the first compensating value, wherein the first compensating value is generated based on measurements taken from a high full image and a low full image, the high full image having a high full grayscale which is one of the full grayscales greater than and adjacent to a multi grayscale of the multi grayscale region, the low full image having a low full grayscale which is one of the full grayscales less than and adjacent to the multi grayscale of the multi grayscale region, wherein the generating of the first compensating value comprises: determining a first difference between a measured value of the high full grayscale at a first position and a measured value of the high full grayscale at a second position in the high full image and a second difference between a measured value of the low full grayscale at the first position and a measured value of the low full grayscale at the second position in the low full image, the first position being the central portion of the multi pattern image, the second position being the position of the multi grayscale region; and linearly interpolating the first difference and the second difference using the high full grayscale, the multi grayscale of the multi grayscale region and the low full grayscale.