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US 6,009,201 AGranted
Efficient table-lookup based visually-lossless image compression scheme
AssigneeIntel Corporation
InventorTinku Acharya
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Abstract
An image compression scheme is disclosed which models the human visual perception system. Using quantization of image error values, according to a visually-lossless scheme, an image can be compressed such that it is visually indistinguishable to the naked eye from the original image. To aid in image compression on portable devices such as a digital camera, the quantization can be precoupled into a look-up table.
Claims19
A method comprising the steps of:
- generating an image compression table that models a visually-lossless image compression scheme, said scheme polynomially relating an error value, which is the difference between two pixels, and a quantized error value, said Polynomial characterized by the human visual perception system;
- and
- utilizing said image compression table for compressing an image, said compressed image appearing visually-lossless upon decompression.
A method comprising the steps of:
- compiling quantized error values and Codeword equivalents for a given image compression scheme into a look-up table, said values modeling visually-lossless image compression said compression the result of said scheme polynomially relating an error value, which is the difference between two pixels, and a quantized error value, said polynomial characterized by the human visual perception system;
- and
- utilizing said look-up table for image compression without re-compiling said values thereafter for a given image compression scheme.
An imaging system including an image capture device comprising:
- an image compression module receiving input from said image captive device;
- and
- a image compression table coupled to said image compression module, said image compression table providing quantized error values and Codeword equivalents thereof which are utilized to compress images, said quantized error values modeling the human visual system, said scheme polynomially relating an error value, which is the difference between two pixels, and a quantized error value, said polynomial characterized by the human visual perception system.
Dependencies are inferred from the claim text.