Method and system for providing formatted data to image processing means in accordance with a standard format

A system for providing formatted information in a standard format to an image-processor, the formatted information being related to defects of an appliance chain, the appliance chain including at least one image-capture appliance and/or one image-restitution appliance, the image-processor using the formatted information to modify quality of at least one image derived from or addressed to the appliance chain;

• the formatted information including:
• data characterizing the defects of the image-capture appliance;
• and/or
• data characterizing the defects of the image-restitution appliance, said defects of the image-capture appliance or of the image-restitution appliance being related to characteristics of an optical system or of a sensor or of an electronic unit or of software integrated in the at least one image-capture appliance;
• and
• said defects including at least one of geometric defects, sharpness defects, colorimetry defects, geometric distortion defects, geometric chromatic aberration defects, geometric vignetting defects, contrast defects, colorimetry defects, rendering of colors and color cast, defects of flash uniformity, sensor noise, grain, astigmatism defects, and spherical aberration defects;
• the system comprising:
• a database of characteristics integrated into a remote server, the database of characteristics configured to store the formatted information;
• and
• a data-processor integrated in the remote server, the data-processor configured to fill in at least one field of the standard format with the formatted information, the field being designated by a field name, the field containing at least one field value,
• wherein the formatted information in the standard format is provided from the remote server to the image-processor, and the formatted information is composed at least partly of parameters of a parameterizable transformation model representative of defects of the image-capture appliance and/or of the image-restitution appliance, and
• a calculation algorithm is used for choosing between a set of parameterizable transformation models, one minimizing a difference between a first image and a second image, wherein
• the first image is an image obtained by application of the parameterizable transformation model to an image of a reference scene obtained with the image-capture appliance or image-restitution appliance, and
• the second image is an image obtained by mathematical projection of the reference scene.