Image display apparatus and information processing apparatus

An information processing apparatus for calculating an emission intensity of each of a plurality of light sources included in a backlight for generating light input to a liquid crystal panel, comprising:

• a luminance distribution calculation unit configured to calculate a predicted value for an intensity distribution of light entering the liquid crystal panel if each of the light sources is lit with an emission intensity, based on luminance distribution data concerning light entering the liquid crystal panel, and the emission intensity of the each of the light sources;
• an error calculation unit configured to obtain, based on an input video signal and the predicted value, a brightness of a display image which is realized if the each of the light sources is lit with the emission intensity, and also configured to calculate an error between the obtained brightness and an ideal brightness of the display image corresponding to the input video signal;
• and
• an emission intensity update unit configured to update the emission intensity of the each of the light sources to reduce the error, based on the error and the intensity distribution data, and also configured to output the updated emission intensity to the luminance distribution calculation unit.

A video image display method comprising:

• calculating a predicted value for an intensity distribution of light entering a liquid crystal panel if each of light sources is lit with an emission intensity, based on luminance distribution data concerning light entering the liquid crystal panel, and the emission intensity of the each of the light sources;
• obtaining, based on an input video signal and the predicted value, a brightness of a display image which is realized if the each of the light sources is lit with the emission intensity, and calculating an error between the obtained brightness and an ideal brightness of the display image corresponding to the input video signal;
• and
• updating the emission intensity of the each of the light sources to reduce the error, based on the error and the intensity distribution data, and using the updated emission intensity as an input in a subsequent calculation of the predicted value.