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Image compression technology based on picture complexity and blocked graded wavelet transform

In order to make a trade-off between the ratio of compressed images and the sparsity of high-frequency coefficients, and optimize the wavelet transform image compression method, this paper proposes a blocked graded wavelet image compression method based on image complexity detection. Based on the image characteristics, the block complexity detection is defined. The row and column complexity map of the compressed image is calculated by color difference, and the decision of wavelet classification is made according to the content of the block. Through the system test, the blocked graded wavelet image compression has made a good choice among compression ratio, compressed image quality and wavelet high frequency coefficient sparsity.