Compression method for a standardized image library

Claim 1

A method of increasing the compression ratio for a library of facial images, the method comprising the steps of: standardizing spatial features and characteristics, including the steps of: selecting image features in an order of importance, and positioning eyes and facial orientation in each image in a standard locational configuration, identifying regions of increased informational significance of the images; compressing each image; and providing an increased data density in each compressed image responsive to the standardizing and identifying including the step of providing compressed data in a region of a face having a higher compression ratio than non-facial regions.

Claim 2

A method of increasing the compression ratio for a library of facial images, the method comprising the steps of: standardizing spatial features and characteristics, including the steps of: selecting image features in an order of importance, and positioning eyes and facial orientation in each image in a standard locational configuration, identifying regions of increased informational significance of the images; compressing each image; and providing an increased data density in each compressed image responsive to the standardizing and identifying including the step of providing compressed data in a region of a face having a higher compression ratio than non-facial regions.

Claim 3

A method of increasing the compression ratio for a library of facial images, the method comprising the steps of: automatically standardizing spatial features and characteristics and identifying regions of increased informational significance of the images; and automatically compressing each image and providing an increased data density in each compressed image responsive to the standardizing and identifying; wherein said standardizing step includes the steps of: selecting image features in an order of importance; providing set of images from said library which enhances the selected features; determining image feature constraints for said selected features; automatically processing said image to meet said image feature constraints, wherein said image feature constraints comprising compression and image quality requirements; and positioning eyes and facial orientation in each image in a standard locational configuration; and wherein said providing step includes the step of: providing compressed data in a region of a face having a higher compression ratio than non-facial regions.

Claim 4

A method of increasing the compression ratio for a library of facial images, the method comprising the steps of: automatically standardizing spatial features and characteristics and identifying regions of increased informational significance of the images; and automatically compressing each image and providing an increased data density in each compressed image responsive to the standardizing and identifying; wherein said standardizing step includes the steps of: selecting image features in an order of importance; providing set of images from said library which enhances the selected features; determining image feature constraints for said selected features; automatically processing said image to meet said image feature constraints, wherein said image feature constraints comprising compression and image quality requirements; and positioning eyes and facial orientation in each image in a standard locational configuration; and wherein said providing step includes the step of: providing compressed data in a region of a face having a higher compression ratio than non-facial regions.

Claim 5

A method for providing a higher compression ratio for each image in a library of images, said method comprising the steps of: automatically spatially standardizing the images forming said image library to provide spatial correlations between features of the standardized images; automatically compressing said standardized images using the spatial correlations between said standardized images; and automatically decompressing said compressed standardized image to provide a visual image; wherein said standardizing step includes the steps of: identifying image features in an order of importance; processing images to enhance said image features; identifying constraints of said image features; processing said image to meet the constraints; and automatically assigning image regions based on a presence of a desired image quality and a desired image compression;. wherein said processing images step includes the steps of: processing said images using vector quantization; and providing a plurality of codebooks, each codebook comprising representative images corresponding to said vector quantization, wherein each image region has a selected codebook for processing each image region; and wherein said decompressing step further include the step of decompressing each image region using said selected codebook which used in said compressing step.

Claim 6

A method for providing a higher compression ratio for each image in a library of images, said method comprising the steps of: automatically spatially standardizing the images forming said image library to provide spatial correlations between features of the standardized images; automatically compressing said standardized images using the spatial correlations between said standardized images; and automatically decompressing said compressed standardized image to provide a visual image; wherein said standardizing step includes the steps of: identifying image features in an order of importance; processing images to enhance said image features; identifying constraints of said image features; processing said image to meet the constraints; and automatically assigning image regions based on a presence of a desired image quality and a desired image compression;. wherein said processing images step includes the steps of: processing said images using vector quantization; and providing a plurality of codebooks, each codebook comprising representative images corresponding to said vector quantization, wherein each image region has a selected codebook for processing each image region; and wherein said decompressing step further include the step of decompressing each image region using said selected codebook which used in said compressing step.

Claim 10

A method of automatically compressing images, comprising: standardizing the spatial location of features in the images; assigning an image quality level to regions comprising the spatial location of the features in the images; determining image-to-image correlations between the regions of the images and reflection transforming the images; allocating a storage capacity for each region of the images; constructing a codebook for each region of the images; partitioning each image into the regions; determining an entry in each codebook closest to a content of each region; and storing the entry as a compressed image.

Claim 11

A method of automatically compressing images, comprising: standardizing the spatial location of features in the images; assigning an image quality level to regions comprising the spatial location of the features in the images; determining image-to-image correlations between the regions of the images and reflection transforming the images; allocating a storage capacity for each region of the images; constructing a codebook for each region of the images; partitioning each image into the regions; determining an entry in each codebook closest to a content of each region; and storing the entry as a compressed image.