An image adjustment amount determination device adapted to determine an image adjustment amount for deletion of information from a video while preserving subjective video quality, comprising: processing target image determination means for receiving an input video signal which comprises a plurality of frame images and which is input from the outside, for dividing the input video signal into the plurality of frame images, and for determining a processing target image F1 which is to be the target of image processing and one or more neighboring images F0, F2 which are located in the vicinity of the processing target image in the display order and which are not to be target of image processing, on the basis of a predetermined criterion from the plurality of frame images; image characteristic extraction means for calculating the average luminance and the amplitude of each spatial frequency component of the one or more neighboring images, and the amplitude of each spatial frequency component of the processing target image; frame image variation calculation means for calculating an amount of motion between the processing target image and each of the one or more neighboring images; and image adjustment amount determination means for determining an adjustment amount of the amplitude of a spatial frequency component of the processing target image, wherein the image adjustment amount determination means calls parameters A to G in the Equation below from a parameter storage on the basis of the average luminance of the one or more neighboring images, the spatial frequency SF of the spatial frequency component to be adjusted, the amplitude P_sf of the spatial frequency components of spatial frequency SF of the one or more neighboring images, the value of the motion amount between the processing target image and the one or more neighboring images, and the temporal interval between the processing target image and the one or more neighboring images; and determines the adjustment amount in both horizontal and vertical directions, from the called parameters A to G and the Equation below. Adjustement amount SF = A 1 + α × SF / β 2 n + B × exp − SF − γ 1 / C 2 + D × exp − SF − γ 2 / E 2 + F × exp − SF − γ 3 / G 2 where n, α, β, γ1, γ2, and γ3 are constants. processing target image determination means for receiving an input video signal which comprises a plurality of frame images and which is input from the outside, for dividing the input video signal into the plurality of frame images, and for determining a processing target image F1 which is to be the target of image processing and one or more neighboring images F0, F2 which are located in the vicinity of the processing target image in the display order and which are not to be target of image processing, on the basis of a predetermined criterion from the plurality of frame images; image characteristic extraction means for calculating the average luminance and the amplitude of each spatial frequency component of the one or more neighboring images, and the amplitude of each spatial frequency component of the processing target image; frame image variation calculation means for calculating an amount of motion between the processing target image and each of the one or more neighboring images; and image adjustment amount determination means for determining an adjustment amount of the amplitude of a spatial frequency component of the processing target image, wherein the image adjustment amount determination means calls parameters A to G in the Equation below from a parameter storage on the basis of the average luminance of the one or more neighboring images, the spatial frequency SF of the spatial frequency component to be adjusted, the amplitude P_sf of the spatial frequency components of spatial frequency SF of the one or more neighboring images, the value of the motion amount between the processing target image and the one or more neighboring images, and the temporal interval between the processing target image and the one or more neighboring images; and determines the adjustment amount in both horizontal and vertical directions, from the called parameters A to G and the Equation below. Adjustement amount SF = A 1 + α × SF / β 2 n + B × exp − SF − γ 1 / C 2 + D × exp − SF − γ 2 / E 2 + F × exp − SF − γ 3 / G 2 where n, α, β, γ1, γ2, and γ3 are constants.