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US 2006/0039619 A1Published application
Image compression using a color visual model
AssigneeSharp Laboratories of America, Inc.
InventorsXiao-fan Feng, Scott Daly, Shawmin Lei, Renjit Thomas
Life of this patent
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Abstract
A system for coding images, and more particularly, to a system for compressing images to a reduced number of bits by employing a Discrete Cosine Transform (DCT) in combination with a visual model.
Claims25
An image encoding system comprising:
- (a) providing a first image;
- (b) quantizing a discrete cosine transform of said first image using a first set of quantization values;
- (c) quantizing said discrete cosine transform of said first image using a second set of quantization values;
- (d) comparing said first image to a spatial reconstructed image based upon said first set of quantization values using a model;
- (e) comparing said first image to a spatial reconstructed image based upon said second set of quantization values using said model;
- (f) selecting one of said first set of quantization values and said second set of quantization values based upon respective said comparing.
3 more elements
An image encoding system comprising:
- (a) providing a first image;
- (b) quantizing a discrete cosine transform of said first image using a first set of quantization values;
- (c) comparing said first image to a spatial reconstructed image based upon said first set of quantization values using a model to determine an error measure;
- (d) based upon said error measure modifying said first set of quantization values;
- and
- (e) quantizing said discrete cosine transform of said first image using said modified first set of quantization values.
3 more elements
An image encoding system comprising:
- (a) providing a first image;
- (b) quantizing a discrete cosine transform of said first image using a first set of quantization values;
- (c) quantizing said discrete cosine transform of said first image using a second set of quantization values;
- (d) comparing said first image to a spatial reconstructed image based upon said first set of quantization values using a model to determine an error measure;
- (e) comparing said first image to a spatial reconstructed image based upon said second set of quantization values using said model to determine an error measure;
- (f) selecting one of said first set of quantization values and said second set of quantization values based upon respective said error measures;
- (g) based upon said error measure modifying a respective set of quantization values;
- (h) quantizing said discrete cosine transform of said first image using said modified set of quantization values.
5 more elements
Dependencies are inferred from the claim text.