Iterated Systems, Inc.

Keshi Chen

Stephen George Demko

Mehdi Khosravi

Gang Liang

Jarkko J Kari

The methods of the invention can be used with image data divided into domain blocks. A predetermined search pattern of range blocks centered on a domain block is defined for use in the methods. The first method includes a step of generating at least one error descriptor data based on domain block data and range block data. The error descriptor data can be derived by scaling the range blocks to the pixel size of a domain block, and subtracting the means of the range blocks and domain block from each pixel thereof. The mean-adjusted, scaled pixel intensity levels of the scaled range blocks are subtracted from mean-adjusted pixel intensity levels of the domain block to produce difference data. The absolute value of the difference data is taken and the positive difference data are summed to produce summed error data for each range block. The summed error data is used to derive at least one error descriptor data for the image. The invention includes a method of using the error descriptor data of a source image to search a database of error descriptor data for target images to select target images relatively close to the source image. The invention also includes a related system.

System and method for producing descriptors for image compression

A system and method compresses datasets so compressed representations corresponding to a predetermined target file size are generated. The system includes a lossy compressor which selects a compressed representation for components of an original data set. The size of the compressed representations generated by the compressor are measured and used with the cost parameters for a parameterized non-linear relationship between cost parameter and compressed representation sizes. The parameters may be used to adjust the cost parameter so the compressor generates compressed representations that correspond to a target size. The adjustment of the cost parameter causes the compressor to select different compressed representations for the components of the original dataset and correspondingly alters the size of the compressed representation.

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Duluth, GA, United States of America

Keshi Chen