Fractal Image Compression: Theory and Application |
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Page 93
... parameters ( a ;, b1 , m¡ ) are called the transformation parameters . By loosely using the union notation to describe concatenation of blocks , we can write : u = W ( v ) MR W ( v ) = U wi ( dm , ) , dm¡ € v . i = 1 ( 5.9 ) The length ...
... parameters ( a ;, b1 , m¡ ) are called the transformation parameters . By loosely using the union notation to describe concatenation of blocks , we can write : u = W ( v ) MR W ( v ) = U wi ( dm , ) , dm¡ € v . i = 1 ( 5.9 ) The length ...
Page 94
... parameters , shown in Table 5.2 . The description of the PIFS code of a vector , namely , the parameters that define W , can now be summarized . The PIFS code is shown in Table 5.3 . = 2B , Dh = B , N = MRB , All other relevant parameters ...
... parameters , shown in Table 5.2 . The description of the PIFS code of a vector , namely , the parameters that define W , can now be summarized . The PIFS code is shown in Table 5.3 . = 2B , Dh = B , N = MRB , All other relevant parameters ...
Page 208
... parameters w ; with Equation ( 10.15 ) . 4. Save those weights that exceed a threshold Tw . The final encoded image ... parameters need to be quantized for each map . After the quantization of the map parameters a comparison of coding ...
... parameters w ; with Equation ( 10.15 ) . 4. Save those weights that exceed a threshold Tw . The final encoded image ... parameters need to be quantized for each map . After the quantization of the map parameters a comparison of coding ...
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Common terms and phrases
affine transformation approximation archetypes attractor average B₁ basis vectors Chapter classification cluster centers codebook blocks coefficients Collage Theorem compression ratio compute Contractive Mapping convergence decoding algorithm decoding method define denote domain and range domain block domain pool domain vectors domain_x domain-range edges encoding Equation eventually contractive example Figure fixed point flag fractal coding fractal dimension given grey-scale hsize image compression inference algorithm inner product iterated function systems Lebesgue measure Lenna lines matrix max_part method metric minimize node offset operator optimal original blocks original image orthogonal orthonormal basis output parameters piecewise PIFS code pixel values PSNR quadrant quadtree partition quantization r₁ range block range vectors recursive resolution samples scale factor scheme Section signal space square subset subspace subsquare super-resolution vector quantization vsize w₁ wavelet xsize/2 y_exponent