自适应图像金字塔表示

2008 IEEE International Symposium on Signal Processing and Information Technology Pub Date : 2008-12-01 DOI:10.1109/ISSPIT.2008.4775650

V. Cherkashyn, R. Kountchev, D. He, R. Kountcheva

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引用次数: 6

摘要

提出了一种基于误差反向传播神经网络的金字塔分解自适应图像压缩方法。处理后的图像被分成块，然后在3层bpnn的隐藏层空间中压缩每个块，从而构建所谓的逆差金字塔。将新方法的建模结果与JPEG和JPEG2000图像压缩标准的建模结果进行了比较。

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Adaptive Image Pyramidal Representation

New adaptive method for image compression based on pyramid decomposition with neural networks with error back propagation (BPNN) is presented in this paper. The processed image is divided in blocks and then each is compressed in the space of the hidden layers of 3-layer BPNNs, which build the so-called inverse difference pyramid. The results of the new method modeling are compared with these, obtained using the image compression standards JPEG and JPEG2000.

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2008 IEEE International Symposium on Signal Processing and Information Technology

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