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Digital image compression method

A technology of digital image and compression method, which is applied in the direction of image communication, image coding, image data processing, etc. It can solve the problem of not fundamentally improving the image compression rate, not using the high correlation of color components, encoding or decoding, and a large amount of calculation and other problems to achieve the effect of avoiding the accumulation of errors, improving the correlation and speeding up

Inactive Publication Date: 2002-10-16
胡笑平
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Problems solved by technology

However, JPEG2000 also brings high computational complexity
In the progressive method used by JPEG2000, both encoding and decoding require too much calculation
Although the wavelet transform in JPEG2000 improves the image quality that deteriorates as the compression rate increases, it does not fundamentally improve the image compression rate, so that when the image quality is good, its compression rate is roughly equivalent to that of JPEG.
Moreover, the arithmetic coding based on context prediction used by JPEG2000 does not take advantage of the characteristic that the color components in the image are highly correlated
[0007] Therefore, for the existing image compression technology, there is still room for improvement

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Embodiment Construction

[0050] The present invention will be further described in detail through the embodiments below in conjunction with the accompanying drawings.

[0051] The method of compressing digital images proposed in the present invention represents images in a progressive manner into multiple sub-sampled quality levels, which avoids the accumulation of errors. In this application, only methods for processing still images are discussed. Because every frame of image in any video sequence can be regarded as a still image, this method can also be applied to video images. The images processed by this method are mainly three-color images: a primary color component (denoted by P) and secondary color components (denoted by S and Q). Of course, the method can also be extended to process monochrome images or multicolor images. The P, S, and Q components can correspond to the G (green), R (red), and B (blue) components of the RGB color space, respectively, and can also correspond to the Y, U, and ...

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Abstract

A method of compressing digital representations of images stores the images in multiple subsampling quality scales in a progressive manner such that a higher quality scale contains only data incremental to the data in an adjacent lower quality scale. The data in each quality scale is transformed, quantized, and entropy encoded. A discrete wavelet cosine transformation combining frequency transformation features of a discrete cosine transformation and spatial transformation features of a wavelet transformation is provided. Sequences of subsampling quality scales are provided for multi-scale representations of images. A novel context selection method is used which treats color components and coefficients of different positions differently. An image compressed in a given quality scale can be transmitted or decompressed progressively allowing progressive downloading or transmission over the Internet.

Description

technical field [0001] The invention relates to a digital image compression method, which is characterized in that the compressed image data is stored and transmitted according to multiple quality levels in a progressive manner. Background technique [0002] Digital storage and display of high-quality color images is becoming more and more common. In order to overcome a large number of storage requirements and reduce the transmission time and cost of high-quality digital images, data compression methods have been developed unprecedentedly, especially the well-known JPEG and its latest version JPEG2000 have become industry standards. Since compression efficiency and reconstruction quality are a pair of contradictions, data compression generally makes a trade-off between the amount of compressed data and the quality of the reconstructed image. If the reconstructed image differs from the original image, the data compression method used is called a "lossy compression" method. ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N11/04G06T9/00H03M7/30H04N1/41
CPCG06T9/00
Inventor 胡笑平
Owner 胡笑平
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