Method and device for compressing image

Abstract

The invention discloses an image compression method, comprising: selecting at least two statistical points from the image, judging whether the sum of the color numbers of the selected statistical points is greater than a preset color number threshold, and if greater, adopting lossy compression The algorithm compresses the image; if it is not larger, the image is compressed using a lossless compression algorithm. The invention also discloses an image compression device, wherein: a statistical point selection module is used to select at least two statistical points from the image; an image type discrimination module is used to judge whether the sum of the colors of the selected statistical points is greater than Pre-set color number threshold; image compression module, used to compress the image using a lossy compression algorithm when the sum of the color numbers of the selected statistical points is greater than the color number threshold; otherwise, lossless compression is used Algorithms compress images. After the invention is applied, the image compression processing efficiency is improved, and the computing power can be saved at the same time.

Description

technical field [0001] The present invention relates to the technical field of image processing, and more specifically, the present invention relates to an image compression method and device. Background technique [0002] The process of performing artificial compression on image information (data) is called image compression. Image compression is a technique to represent an image or the information contained in an image with as few bits as possible. Compression schemes can preserve the original information, that is, the original image can be reconstructed from the compressed image without error. Compression schemes can also be non-information preserving, ie allow some reasonable degree of distortion from the original image. At present, commonly used compression methods include: image transformation, predictive compression technology, adaptive compression technology, color image compression, binary image compression, run-length coding, "high frequency component" and "low f...

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Problems solved by technology

[0008] However, the disadvantage of this scheme is: in this technique, when compressing the image, the computer image needs to be compressed twice, the first time the DCT algorithm is used for compression to obtain the compression ratio multiple, and when it is judged as a computer image, the computer image needs to be compressed twice. Lossless compression algorithms such as Deflate need to be used for compression, so the image compression processing efficiency is low, and it will also greatly waste computer computing power

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