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A Diffusion Method for Color Editing Based on Resampling

An editing diffusion and resampling technology, applied in the field of image processing, can solve the problems of editing image color and expectations, and achieve the effect of maintaining good details and simplifying user interaction.

Active Publication Date: 2018-10-26
SOUTH CHINA AGRI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Chen et al. proposed an edit diffusion technique based on local linear embedding (LLE). In order to obtain a natural edge effect, the K value of the K nearest neighbor is relatively large. The problem caused by this is the color and expectation of the final edited image. discrepancy

Method used

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  • A Diffusion Method for Color Editing Based on Resampling
  • A Diffusion Method for Color Editing Based on Resampling
  • A Diffusion Method for Color Editing Based on Resampling

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Embodiment Construction

[0017] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0018] Editing diffusion is an interactive operation method. First, the user interactively selects samples of each editing mode through a brush and provides corresponding editing methods; and the position, color, quantity and other characteristics of the samples have an important impact on the editing results. In order to reduce the dependence on input samples, the present invention adopts the method of secondary diffusion. Considering that the color of the central...

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Abstract

The invention discloses a method for color editing diffusion based re-sampling. The method includes carrying out super-pixel segmentation on images and extracting each super-pixel center as a re-sampled sample, determining the attribution of the re-sampled samples according to the similarity of the re-sampled samples with one-dimensional adjacent sample and the similarity of the re-sampled samples with each editing mode and calculating editing color accordingly according to the principle that other pixels are subjected to only one editing mode except edge pixels, and diffusing to the entire image in an increment means by following the principle that the colors of samples subjected to similar color editing are still similar. During diffusion, each pixel adaptively selects sample quantity to prevent interference of samples with low similarity. User interaction operation is simplified, the generated images is consistent with the edited color and better maintains the image details.

Description

technical field [0001] The invention relates to the color editing diffusion technology in the field of image processing, in particular to a color editing diffusion method based on resampling. Background technique [0002] Color editing diffusion is to spread one or more editing modes given by the user's interactively selected samples to the entire image according to the principle of similar transformation of similar colors, so as to change the color of a given image. Compared with the automatic method, it is more flexible and easier to express the user's intention. Color editing diffusion has a wide range of applications in appearance correction or design, such as designing different tones for the same model, adjusting the brightness of a photo, etc. [0003] There has been a lot of work on editorial diffusion. Levin et al. constructed a quadratic optimization function based on the principle that adjacent similar pixels are still similar after editing, and spread the editi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T11/40
Inventor 王栋卢子彬黄智麟
Owner SOUTH CHINA AGRI UNIV
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