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Dear All

In the following section, why and how have defined a function in the form, and how connect p_j smoothly?
this is how Matlab programing?
In this section, we will provide a direct and practical way to do image compression by using two-dimensional nonseparable scaling function interpolation.
We shall denote the value of the pixel in row j_1 and the column j_2 of the image by p_j; j := (j_1; j_2). Whereas transform coding is most often described solely in terms of the discrete pixel values p_j, our analysis is based on interpreting the image as a smooth, compact support function f(x,y) defined on R^2 with the values p_j at (j_1/2^m, j_2/2^m)[connect p_j smoothly, (x, y)∈[ − 1/2^m , 1] × [ − 1/2^m , 1] − ( j_1/2^m ; j_2/2^m )],
and 0 at (p , q), ((p , q)∈R^2 − [ − 1/2^m, 1] × [ − 1/2^m, 1]).

Thank you for your help.
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ebrahimisamaneh 13-Apr-15 8:47am    
This is not a homework. I'm working article, and for this i need to underestand that section.
Nobody can't help me. If you can, please help me.
that section is a part of ' Image compression and denoising via nonseparable wavelet
approximation' article.

Best regards

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This is not a homework. I'm working article, and for this i need to underestand that section.
Nobody can't help me. If you can, please help me.
that section is a part of ' Image compression and denoising via nonseparable wavelet
approximation' article.

Best regards
 
Share this answer
 

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