Texture Separation using the Curvelet transform and the DCT
We present here some experiments relative the texture separation using MCA.
Left, original image; middle, piecewise smooth content part and right, texture part.
The addition of the texture part and the piecewise smooth part reproduces the original image.
Left, Canny edge detection on previous original image and right, Canny edge detection on
the piecewise smooth part.
Left, original image; middle, piecewise smooth content part and right, texture part.
The addition of the texture part and the piecewise smooth part reproduces the original image.
Left, original image; middle, piecewise smooth content part and right, texture part.
The addition of the texture part and the piecewise smooth part reproduces the original image.
Upper, left original image + noise and right, piecewise smooth content part.
Bottom, left texture part and right, residual part. Residual + texture part
+ piecewise smooth content part = input data.
