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Remote sensing image data enhancement is a very important preprocessing step in imaging system for agriculture applications. In this paper, after demonstrating the equivalence of the sharpening by the Laplacian to inverse heat equation processing, a robust inverse diffusion equation is presented, which sharpens image details by a robust Laplacian. Image gradient magnitude is used to avoid the noise...
PDE (Partial differential equation) is a widely used image denoising method. The anisotropic diffusion property of PDE is analyzed in this paper. For the different effects of forward and backward diffusion, some kinds of PDE smooth image well while some enhance edges. In this paper an adaptive image denoising model is proposed. The novel model diffuses differently based on gradient magnitude of image...
In this paper a novel bi-directional diffusion model with two layer constraint is proposed. The new model can smooth the artifacts and jaggies in the interpolated image and make image clearly by enhancing the edge. It considers both along and orthogonal to edge diffusion, and the orthogonal to edge backward diffusion enhances the edge in image. There is severe block effect in the interpolated image,...
In this paper, a new type of diffusion process that simultaneously denoises and sharpens image is considered. A coupled shock-diffusion filter is presented, where, according to image features such as edges, textures, and fine parts, it performs a forward smoothing along the tangent direction to the isophote lines (edges), a backward (inverse) sharpening along the normal directions, or only an isotropic...
The motive of palmprint image enhancement is to highlight the fine details of palm lines. In this paper, a fuzzy unsharp masking algorithm is presented to enhance the contrast of a palmprint image. This method introduces the fuzzy set theory into the unsharp masking scheme. Unsharp masking (UM) approaches are simple and effective for contrast enhancement of high-frequency components. Most of UM algorithms...
In this paper, a new type of diffusion process that simultaneously denoises and sharpens images is considered. We presents a feature-oriented coupled bidirectional flow process, where, according to image features such as edges, textures, and fine parts, it can switch from a forward diffusion to a backward (inverse) one along the normal directions to the isophote lines (edges), while a forward diffusion...
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