Method, system, and program for correcting the image quality of a moving image

An image processing system comprising:

• feature quantity calculation means for calculating a feature quantity of each of a plurality of picture frames that constitute a moving image;
• temporary correction value calculation means for calculating a temporary correction value for correcting picture quality of each of said picture frames, from the picture frame;
• temporary correction means for calculating a feature quantity of a temporarily corrected picture frame obtained by correcting each of said picture frames with said temporary correction value calculated by said temporary correction value calculation means;
• target feature quantity calculation means for calculating a value, obtained by adjusting the feature quantities of the temporarily corrected picture frames so that the feature quantities vary smoothly in a temporal direction, as a target feature quantity of said picture frame to which said temporarily corrected picture frame corresponds;
• and
• object correction value calculation means for calculating an object correction value for each of said picture frames so that the feature quantity of each of said picture frames calculated by said feature quantity calculation means becomes approximately equal to said target feature quantity of the picture frame,
• where in the temporary correction value (γo) is calculated using the equation:
• γo=Yd-Yo, wherein Yd is a target image density for each image and Yo is a mean value of image density for each image.

A computer readable storage memory encoded with a program for causing a computer to carry out:

• calculating a feature quantity of each of a plurality of picture frames, said plurality of picture frames constituting a moving image;
• calculating a temporary correction value for correcting picture quality of each of plurality of picture frames from said picture frame;
• calculating a feature quantity of a temporarily corrected picture frame obtained by correcting each of the picture frames with said temporary correction value;
• a target feature quantity calculation step of calculating a target feature quantity of said picture frame to which said temporarily corrected picture frame corresponds, said target feature quantity being obtained by adjusting the feature quantities of the temporarily corrected picture frames so that the feature quantities vary smoothly in a temporal direction;
• and
• calculating an object correction value for each of said picture frames so that the feature quantity of each of the plurality of picture frames becomes approximately equal to said target feature quantity of said picture frames,
• where in the temporary correction value (γo) is calculated using the equation:
• γo=Yd-Yo, wherein Yd is a target image density for each image and Yo is a mean value of image density for each image.

An image processing method comprising:

• calculating a feature quantity of each of a plurality of picture frames, said plurality of picture frames constituting a moving image;
• calculating, by a processor of a computer, a temporary correction value for correcting picture quality of each of the plurality of picture frames from said picture frame;
• calculating a feature quantity of a temporarily corrected picture frame, which is obtained by correcting each of said picture frames with said temporary correction value;
• calculating a target feature quantity of said picture frame to which said temporarily corrected picture frame corresponds, said target feature quantity being obtained by adjusting the feature quantities of the temporarily corrected picture frames so that the feature quantities vary smoothly in a temporal direction;
• calculating an object correction value for each of said picture frames so that the feature quantity of each of the plurality of picture frames becomes approximately equal to said target feature quantity of said picture frame obtaining a corrected moving image using said object correction value,
• wherein the feature quantity (Y1) of the temporarily corrected picture frame is calculated using the equation:
• Y1=Yo+γo, wherein Yo is a mean value of image density for each image, and γo is the temporary correction value for each image.

An image processing method comprising:

• calculating a feature quantity of each of a plurality of picture frames, said plurality of picture frames constituting a moving image;
• calculating, by a processor of a computer, a temporary correction value for correcting picture quality of each of the plurality of picture frames from said picture frame;
• calculating a feature quantity of a temporarily corrected picture frame, which is obtained by correcting each of said picture frames with said temporary correction value;
• calculating a target feature quantity of said picture frame to which said temporarily corrected picture frame corresponds, said target feature quantity being obtained by adjusting the feature quantities of the temporarily corrected picture frames so that the feature quantities vary smoothly in a temporal direction;
• calculating an object correction value for each of said picture frames so that the feature quantity of each of the plurality of picture frames becomes approximately equal to said target feature quantity of said picture frame
• obtaining a corrected moving image using said object correction value,
• wherein the target feature quantity (Y2) is the average of (1) the feature quantity of a first temporarily corrected picture frame, (2) the feature quantity of at least one temporarily corrected picture frame proceeding the first temporarily corrected picture frame, and (3) the feature quantity of at least one temporarily corrected picture frame subsequent to the first temporarily corrected picture frame.

An image processing system comprising:

• feature quantity calculation means for calculating a feature quantity of each of a plurality of picture frames that constitute a moving image;
• temporary correction value calculation means for calculating a temporary correction value for correcting picture quality of each of said picture frames, from the picture frame;
• temporary correction means for calculating a feature quantity of a temporarily corrected picture frame obtained by correcting each of said picture frames with said temporary correction value calculated by said temporary correction value calculation means;
• target feature quantity calculation means for calculating a value, obtained by adjusting the feature quantities of the temporarily corrected picture frames so that the feature quantities vary smoothly in a temporal direction, as a target feature quantity of said picture frame to which said temporarily corrected picture frame corresponds;
• and
• object correction value calculation means for calculating an object correction value for each of said picture frames so that the feature quantity of each of said picture frames calculated by said feature quantity calculation means becomes approximately equal to said target feature quantity of the picture frame,
• wherein the feature quantity (Y1) of the temporarily corrected picture frame is calculated using the equation:
• Y1=Yo+γo, wherein Yo is a mean value of image density for each image, and γo is the temporary correction value for each image.

An image processing system comprising:

• feature quantity calculation means for calculating a feature quantity of each of a plurality of picture frames that constitute a moving image;
• temporary correction value calculation means for calculating a temporary correction value for correcting picture quality of each of said picture frames, from the picture frame;
• temporary correction means for calculating a feature quantity of a temporarily corrected picture frame obtained by correcting each of said picture frames with said temporary correction value calculated by said temporary correction value calculation means;
• target feature quantity calculation means for calculating a value, obtained by adjusting the feature quantities of the temporarily corrected picture frames so that the feature quantities vary smoothly in a temporal direction, as a target feature quantity of said picture frame to which said temporarily corrected picture frame corresponds;
• and
• object correction value calculation means for calculating an object correction value for each of said picture frames so that the feature quantity of each of said picture frames calculated by said feature quantity calculation means becomes approximately equal to said target feature quantity of the picture frame,
• wherein the target feature quantity (Y2) is the average of (1) the feature quantity of a first temporarily corrected picture frame, (2) the feature quantity of at least one temporarily corrected picture frame proceeding the first temporarily corrected picture frame, and (3) the feature quantity of at least one temporarily corrected picture frame subsequent to the first temporarily corrected picture frame.

A computer readable storage memory encoded with a program for causing a computer to carry out:

• calculating a feature quantity of each of a plurality of picture frames, said plurality of picture frames constituting a moving image;
• calculating a temporary correction value for correcting picture quality of each of plurality of picture frames from said picture frame;
• calculating a feature quantity of a temporarily corrected picture frame obtained by correcting each of the picture frames with said temporary correction value;
• a target feature quantity calculation step of calculating a target feature quantity of said picture frame to which said temporarily corrected picture frame corresponds, said target feature quantity being obtained by adjusting the feature quantities of the temporarily corrected picture frames so that the feature quantities vary smoothly in a temporal direction;
• and
• calculating an object correction value for each of said picture frames so that the feature quantity of each of the plurality of picture frames becomes approximately equal to said target feature quantity of said picture frame,
• wherein the feature quantity (Y1) of the temporarily corrected picture frame is calculated using the equation:
• Y1=Yo+γo, wherein Yo is a mean value of image density for each image, and γo is the temporary correction value for each image.

A computer readable storage memory encoded with a program for causing a computer to carry out:

• calculating a feature quantity of each of a plurality of picture frames, said plurality of picture frames constituting a moving image;
• calculating a temporary correction value for correcting picture quality of each of plurality of picture frames from said picture frame;
• calculating a feature quantity of a temporarily corrected picture frame obtained by correcting each of the picture frames with said temporary correction value;
• a target feature quantity calculation step of calculating a target feature quantity of said picture frame to which said temporarily corrected picture frame corresponds, said target feature quantity being obtained by adjusting the feature quantities of the temporarily corrected picture frames so that the feature quantities vary smoothly in a temporal direction;
• and
• calculating an object correction value for each of said picture frames so that the feature quantity of each of the plurality of picture frames becomes approximately equal to said target feature quantity of said picture frame,
• wherein the target feature quantity (Y2) is the average of (1) the feature quantity of a first temporarily corrected picture frame, (2) the feature quantity of at least one temporarily corrected picture frame proceeding the first temporarily corrected picture frame, and (3) the feature quantity of at least one temporarily corrected picture frame subsequent to the first temporarily corrected picture frame.