Method and system for image mapping

Claim 1

A method of simulating an image in a system having an image input means, an image output means, a processor, and a means for performing image simulation of an object area for reconstruction into the simulated image, the method comprising the steps of: inputting a first image with said image input means; determining a standard color vector for each pixel of the object area of said first image; calculating a mean color vector for each of plurality of pixels neighboring said object area of said first image; calculating a ratio of each mean color vector to a corresponding one of the standard color vectors for each pixel; generating a second image from said object area by changing the color vectors of at least one part of the pixels in said object area; adjusting the color vector of each pixel of said second image corresponding to each pixel in said object area with said ratio corresponding to said each pixel; generating a third image with the color vectors of each pixel as adjusted in the color vector adjusting step; and outputting said third image with said image output means.

Claim 2

A method of simulating an image in a system having an image input means, an image output means, a processor, and a means for performing image simulation of an object area for reconstruction into the simulated image, the method comprising the steps of: inputting a first image with said image input means; determining a standard color vector for each pixel of the object area of said first image; calculating a mean color vector for each of plurality of pixels neighboring said object area of said first image; calculating a ratio of each mean color vector to a corresponding one of the standard color vectors for each pixel; generating a second image from said object area by changing the color vectors of at least one part of the pixels in said object area; adjusting the color vector of each pixel of said second image corresponding to each pixel in said object area with said ratio corresponding to said each pixel; generating a third image with the color vectors of each pixel as adjusted in the color vector adjusting step; and outputting said third image with said image output means.

Claim 9

A method of simulating an image in a system having an image input means, an image output means, a processor, and a means for performing image simulation of an object area for reconstructing an image having at least one color component, the method comprising the steps of: inputting a first image with said image input means, the first image being divided into pixels and having a least one region with a common texture; determining a standard color vector for each pixel in the object area of said first image; calculating a mean color vector corresponding to each of the pixels in said object area; calculating, for each pixel in the object area, a ratio of its mean color vector to its standard color vector; generating a second image from said object area by changing the color vectors of the pixels in at least one region of said object area; adjusting the color vectors of the pixels of said second image corresponding to each pixel in the at least one region in said object area, with said ratios corresponding to each of the pixels; generating a third image using the adjusted color vectors from the color vector adjusting step; and outputting said third image with said image output means.

Claim 10

A method of simulating an image in a system having an image input means, an image output means, a processor, and a means for performing image simulation of an object area for reconstructing an image having at least one color component, the method comprising the steps of: inputting a first image with said image input means, the first image being divided into pixels and having a least one region with a common texture; determining a standard color vector for each pixel in the object area of said first image; calculating a mean color vector corresponding to each of the pixels in said object area; calculating, for each pixel in the object area, a ratio of its mean color vector to its standard color vector; generating a second image from said object area by changing the color vectors of the pixels in at least one region of said object area; adjusting the color vectors of the pixels of said second image corresponding to each pixel in the at least one region in said object area, with said ratios corresponding to each of the pixels; generating a third image using the adjusted color vectors from the color vector adjusting step; and outputting said third image with said image output means.

Claim 11

A method for simulating an image in a system having an image input means, an image output means, a processor, and a means for performing image simulation of an object area of an image, the method comprising the steps of: inputting a first image with said image input means; texture-mapping another image from which a global shadow and shade are removed into said object area of said first image; extracting at least one of a light source color vector and an object body color vector for each of the pixels in the object area of said first image for simulation; expressing a pixel color vector for each pixel in said object area as a linear sum of said light source an object body color vectors; generating a second image by changing the pixel color vectors of at least a part of the pixels in said object area of the first image, including the steps of: determining standard color vectors of the first image; setting a square area with a side of n pixels surrounding each pixel of the first image; calculating a mean color vector from the color vectors of each pixel in the square; repeating the process of calculating the mean color vector in the area by incrementing n two by two starting at 1 until difference between said mean color vector and a previous mean color vector becomes less than a predetermined threshold value; after the difference becomes less than the threshold value, calculating a ratio of said mean color vector to the standard color vector of each pixel; and dividing the color vector by said ratio in each pixel of the first image to generate the shroud image; reconstructing said linear sum by replacing said object body color vector of each pixel in said object area of said first image with the color vector of the corresponding pixel of said second image and using each of the pixel color vectors of the second image as the pixel color vector of the corresponding pixel to generate a third image; and outputting said third image.

Claim 12

A method for simulating an image in a system having an image input means, an image output means, a processor, and a means for performing image simulation of an object area of an image, the method comprising the steps of: inputting a first image with said image input means; texture-mapping another image from which a global shadow and shade are removed into said object area of said first image; extracting at least one of a light source color vector and an object body color vector for each of the pixels in the object area of said first image for simulation; expressing a pixel color vector for each pixel in said object area as a linear sum of said light source an object body color vectors; generating a second image by changing the pixel color vectors of at least a part of the pixels in said object area of the first image, including the steps of: determining standard color vectors of the first image; setting a square area with a side of n pixels surrounding each pixel of the first image; calculating a mean color vector from the color vectors of each pixel in the square; repeating the process of calculating the mean color vector in the area by incrementing n two by two starting at 1 until difference between said mean color vector and a previous mean color vector becomes less than a predetermined threshold value; after the difference becomes less than the threshold value, calculating a ratio of said mean color vector to the standard color vector of each pixel; and dividing the color vector by said ratio in each pixel of the first image to generate the shroud image; reconstructing said linear sum by replacing said object body color vector of each pixel in said object area of said first image with the color vector of the corresponding pixel of said second image and using each of the pixel color vectors of the second image as the pixel color vector of the corresponding pixel to generate a third image; and outputting said third image.

Claim 13

A method for simulating an image in a system having an image input means, an image output means, a processor, and a means for performing image simulation of the object area of a color or monochromatic image, the method comprising the steps of: inputting a first image with said image input means; setting a square area with a side of n pixels around each pixel of the object area of said image; calculating a mean color vector in the square area, after each mean color vector calculation, incrementing the n two by two starting at 1 and recalculating the mean color vector until a difference between the calculated mean color vector and a previously calculated mean color vector becomes less than a predetermined threshold value; extracting at least one of a light source vector and an object body vector based on the calculated mean color vectors; expressing a color vector for each pixel in said object area as a linear sum of said light source and object body vectors; generating a second image by changing the pixel color vectors of at least a part of the pixels in said object area; reconstructing said linear sum by replacing said object body vector of each pixel in said object area with the pixel color vector of the corresponding pixel of said second image and using each of the pixel color vectors of the second image as the pixel color vector of the corresponding pixel to generate a third image; and outputting said third image.

Claim 14

A method for simulating an image in a system having an image input means, an image output means, a processor, and a means for performing image simulation of the object area of a color or monochromatic image, the method comprising the steps of: inputting a first image with said image input means; setting a square area with a side of n pixels around each pixel of the object area of said image; calculating a mean color vector in the square area, after each mean color vector calculation, incrementing the n two by two starting at 1 and recalculating the mean color vector until a difference between the calculated mean color vector and a previously calculated mean color vector becomes less than a predetermined threshold value; extracting at least one of a light source vector and an object body vector based on the calculated mean color vectors; expressing a color vector for each pixel in said object area as a linear sum of said light source and object body vectors; generating a second image by changing the pixel color vectors of at least a part of the pixels in said object area; reconstructing said linear sum by replacing said object body vector of each pixel in said object area with the pixel color vector of the corresponding pixel of said second image and using each of the pixel color vectors of the second image as the pixel color vector of the corresponding pixel to generate a third image; and outputting said third image.

Claim 15

A method of mapping an image in a system having an image input means, an image output means, a processor, and a means for transforming and mapping images, the method comprising the steps of: inputting a perspective projection in a three-dimensional space including at least a plane, as a first image with said image input means, said first image having a repetitive pattern of a plurality of similar image areas which are originally on the same plane in the three-dimensional spaces; calculating transformation parameters for transforming coordinate values of at least four points on the plane into calculated coordinate values in said image areas; comparing said calculated coordinate values of the four points on the plane and a true coordinate value of a true corresponding position on the plane; recalculating said parameters in accordance with the comparison of the calculated and true coordinate values; generating a second image for mapping into said plurality of areas; and mapping each pixel in said second image into a pixel in said image areas of said first image in accordance with said transformation parameters to generate a third image.

Claim 16

A method of mapping an image in a system having an image input means, an image output means, a processor, and a means for transforming and mapping images, the method comprising the steps of: inputting a perspective projection in a three-dimensional space including at least a plane, as a first image with said image input means, said first image having a repetitive pattern of a plurality of similar image areas which are originally on the same plane in the three-dimensional spaces; calculating transformation parameters for transforming coordinate values of at least four points on the plane into calculated coordinate values in said image areas; comparing said calculated coordinate values of the four points on the plane and a true coordinate value of a true corresponding position on the plane; recalculating said parameters in accordance with the comparison of the calculated and true coordinate values; generating a second image for mapping into said plurality of areas; and mapping each pixel in said second image into a pixel in said image areas of said first image in accordance with said transformation parameters to generate a third image.