Texture analysis based on affine transform coding

A novel very-low-bit-rate textured image compression scheme is proposed in this scheme, both texture self-similarity property and affine transform are used as basis to achieve coding tasks. An input texture image can be reconstructed from both the prototype block spectral and the corresponding affine transform parameters. These parameters are estimated from the prototype block spectral and that of the rest blocks using the multiresolution Fourier transform, MFT, of the input image. In the synthesizing process, two different groups of parameters are generated, the MFT coefficients of the prototype block and the estimated affine parameters amongst blocks. In order to achieve the very-low-bit-rate coding scheme, this paper presents the quantization and coding scheme of the transformed coefficients and the estimated affine parameters. Consequently, figures of the compression and distortion ratio of the reconstructed image can be measured to analyze the structure of textured image over various scales.