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Neuro-psychological findings have shown that human perception of objects is based on part decomposition.
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Two-part decomposition instead of three-part decomposition.
We observe two main differences between the compared models and the proposed DG3PD model: Two-part decomposition instead of three-part decomposition.
A system consists of hardware, software, and humans according to a whole-part decomposition.
This two-part decomposition scheme is applied for denoising, inpainting, and resizing of vector-valued images.
Recently, Schaeffer and Osher [23] suggested a two-part decomposition approach.
The two-part decomposition is used in the estimation process of the optimal reception filter.
Goal 2: three-part decomposition and reconstruction f=u+v+ε.
Further models for two-part decomposition are listed in Table 1 of [18].
For δ=0 which is equal to two-part decomposition, we obtain the original image again.
We follow in the footsteps of Aujol and Chambolle [3] who pioneered three-part decomposition and DG3PD generalizes their approach.
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