| Summary: | 碩士 === 逢甲大學 === 電機工程研究所 === 86 === The purpose of this thesis is to develop a static image
compression scheme that is based on theories of Gaussian
frames and feature extraction. The primary motivation of this
research is to solve the problem of destroying salient image
features in traditional image compression methods for
low-bit-rate coding.
The developed image compression scheme is composed of an encoder
and a decoder. In the encoder, image features are extracted
first, and then both theparameters of the extracted image
features and the low frequency components ofan image are coded.
In the decoder, the high frequency components of an image are
predicted by the decoded parameters of the image features.
Hence, the original image can be reconstructed by adding the
predicted high frequency components and the decoded low
frequency components. The initial simulation results show that
the proposed compression scheme retains most of the salient
features for low-bit-rate coding.
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