Our method, termed as the L 0 gradient projection, is formulated as the minimization of a quadratic data-fidelity to an input image subject to the constraint ...

To overcome the shortcomings of L 0 p, algorithm in Ref. [17] restricts the smoothed image's gradient, only matching a few images. Compared with filtering ...

Mar 5, 2017 · Our method, termed as the L<inf>0</inf> gradient projection, is formulated as the minimization of a quadratic data-fidelity to an input image ...

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A new edge-preserving filtering method with a novel use of the minimization of the quadratic data-fidelity subject to the hard constraint that the gradient ...

Image smoothing algorithm based on l0 gradient minimization can smooth details and textures of image while preserving edges. Since the algorithm uses image ...

To circumvent the difficulty, we propose a new edge-preserving filtering method with a novel use of the L0 gradient. Our method is formulated as the ...

We present an image decomposition method using L1 fidelity term with L0 norm of gradient to decompose an image into base layer and detail layer.

Sep 26, 2023 · In this paper, we propose robust image-smoothing methods based on l 0 gradient minimization with novel gradient constraints to effectively suppress pseudo- ...

The optimization framework with edge preserving regularization is more flexible compared with lo- cal filtering. Its result is shown in Fig. 3(c). Another type ...