1. An image-processing method, comprising: subjecting original image data indicative of an original image to a selective noise reduction by reducing noise from pixel data that meets a prescribed condition among all the pixel data in the original image data, thereby generating selectively-noise-reduced original image data indicative of a selectively-noise-reduced original image; performing a first calibration to calibrate contrast of a backlight region of the selectively-noise-reduced original image by determining a first pixel component and a second pixel component for each of at least noise-reduced pixel data in the selectively-noise-reduced original image data, by increasing contrast of the second pixel component, and by recreating pixel data based on the first pixel component and the calibrated second pixel component, thereby generating output image data; performing a second calibration to calibrate contrast of the backlight region of the original image; calculating a difference between pixel data in the original image data and corresponding pixel data in the contrast-calibrated original image data; selecting, among all the pixel data in the original image data pixel data whose corresponding pixel data in the contrast-calibrated original image data has lightness greater than the subject pixel data in the original image data and an amount of the difference is outside a preset range; and determining the selected pixel data as the pixel data that meets the prescribed condition.