Methods and Systems for Human Imperceptible Computerized Color Transfer

A method for coloring an input grayscale image into an output color image, the method comprising:

• a) selecting dominant source colors from a color palette or one color from a source image;
• b) applying a color model transformation to transform a target image in an original color model into a color model wherein a target luminance component and a target color information component are independent;
• c) dividing the target image into a plurality of target regions according to the target luminance component;
• d) generating a color mapping relationship between at least one dominant target color from each of the plurality of target regions and a dominant source color;
• e) transferring dominant source color information into a target image;
• and
• f) applying an inverse color model algorithm to transfer the color model to a selected color model.

A method for recoloring an input image into an output image with another color appearance, the method comprising:

• a) selecting dominant source colors;
• b) applying a color model transformation algorithm to transform a target image in an original color model into a color model wherein a target luminance component and a target color information component are independent;
• c) dividing the target image into a plurality of target segments according to the target color information component;
• d) extracting dominant target colors from the target image by extracting information for at least one of the dominant target colors from each target segment of the plurality of target segments;
• e) generating a color mapping relationship between the dominant target colors and the dominant source colors;
• f) transferring source color information into a target image based on information generated from a source color input algorithm;
• and
• g) applying an inverse color model algorithm to transfer the color model to a selected color model.

A method for image segmentation by data grouping, the method comprising:

• a) receiving an original image;
• b) setting a number of segment groups manually or automatically via a computer algorithm;
• c) applying a color model transformation algorithm to transform the original image in an original color model into a color model wherein a target luminance component and a target color information component are independent;
• d) including the target color information component as a feature for each pixel in the original image;
• and
• e) grouping the pixels via a Logarithmic GMM method, using each target color information component.

A method for image segmentation by data grouping, the method comprising:

• a) receiving an original image;
• b) setting a number of segment groups manually or automatically via a computer algorithm;
• c) applying a color model transformation algorithm to transform the original image in an original color model into a color model wherein a target luminance component and a target color information component are independent;
• d) including the target color information component as a feature for each pixel in the original image;
• and
• e) grouping the pixels via a Logarithmic K-means method, using each target color information component.

A method for generating an image sequence showing a gradual changing from a first color appearance to a second color appearance, the method comprising:

• a) determining at least two sets of dominant source colors;
• b) applying a color model transformation algorithm to transform a target image in an first color model into a color model wherein a target luminance component and a target color information component are independent;
• c) segmenting the target image into a plurality of target segments according to the target color information component or the target luminance component;
• d) extracting dominant target colors from the target image by extracting information for at least one of the dominant target colors from each target segment of the plurality of target segments;
• e) generating a color mapping relationship between the dominant target colors and the at least two sets of dominant source colors;
• f) calculating color information for probabilistic color transfer via a color variation curve with these at least two sets of dominant source color;
• g) transferring the color information into a target image by using the color information generated from the color variation curve;
• and
• h) applying an inverse color model algorithm to transfer the first color model to a selected second color model.

A support system for color-impaired users, the system comprising:

• a pair of glasses configured to be worn by a color-impaired user;
• at least one camera affixed to the pair of glasses;
• a processor in communication with the at least one camera, the processor configured to:
• capture at least one image via the at least one camera;
• determine dominant source colors;
• segment a target image into a plurality of target segments based on a target color information component;
• extract dominant target colors from the target image by extracting information for at least one of the dominant target colors from each target segment of the plurality of target segments;
• generate a color mapping relationship between the dominant target colors and the dominant source colors;
• transfer color information into the target image;
• generate images for the color-impaired user;
• and
• display the generated images on at least one lens of the pair of glasses.

A method for testing the performance of biometrics recognition technology, the method comprising:

• a) receiving a biometrics image;
• b) determining dominant source colors;
• c) segmenting the biometrics image into a plurality of biometric segments based on a biometrics color information component;
• d) extracting dominant target colors from the biometric image by extracting information for at least one of the dominant target colors from each biometric segment of the plurality of biometric segments;
• e) generating a color mapping relationship between the dominant target colors and the dominant source colors;
• f) transferring color information into the biometrics image;
• g) extracting at least one biometrics feature from the biometrics image of step f);
• h) comparing the at least one biometrics feature with a reference data set;
• and
• i) generating a test result.

A method for coloring an input grayscale image into an output colorful image, the method comprising:

• a) applying a color model transformation algorithm to transform a target image in an original color model into a color model wherein a target luminance component and a target color information component are independent;
• b) segmenting a target image into a plurality of target segments based on the target luminance component;
• c) extracting structure features from the target image by extracting information for at least one of the structure features from each target segment of the plurality of target segments;
• d) generating a source color for each target segment based on each structure feature, via a machine learning model;
• e) transferring the dominant source colors into the target image via a copy process;
• and
• f) applying an inverse color model algorithm to transfer the original color model to a selected second color model.

A method for partial color transfer, the method comprising:

• a) selecting an object to be color transferred, the object included in a target image;
• b) determining dominant source colors;
• c) transforming the target image from an original color model into a color model including a target luminance component and a target color information component;
• d) segmenting the object into a plurality of object segments based on the target color information component or the target luminance component;
• e) extracting dominant target colors from the object by extracting information for at least one of the dominant target colors from each object segment of the plurality of object segments;
• f) generating a color mapping relationship between the dominant target colors and the dominant source colors;
• g) transferring color information into the object;
• and
• h) applying an inverse color model algorithm to transfer the original color model to a selected color model.

A method for partial color transfer in a video, the method comprising:

• a) inputting at least one object to be color transferred, the at least one object included in a video;
• b) detecting the at least one object in each frame image of the video;
• c) determining dominant source colors;
• d) transforming each frame image from an original color model into a color model including a frame luminance component and a frame color information component;
• e) segmenting the at least one object into a plurality of object segments based on the frame color information component or the frame luminance component;
• f) extracting dominant target colors from the at least one object by extracting information for at least one of the dominant target colors from each object segment of the plurality of object segments;
• g) generating a color mapping relationship between the dominant target colors and the dominant source colors;
• h) transferring color information into the at least one object in each frame image;
• and
• i) applying an inverse color model algorithm to transfer the original color model to a selected color model.

A method of recoloring text for people with a learning disability, the method comprising:

• a) detecting and extracting text from a target image;
• b) transforming the target image from an original color model into a color model including a target luminance component and a target color information component;
• c) determining dominant source colors;
• d) transferring color information into the text via probabilistic color transfer;
• and
• e) applying an inverse color model algorithm to transfer the original color model to a selected color model.