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Image colorization method based on L1 mixed norm solving

A colorization and color technology, applied in the field of image processing, which can solve problems such as adjustment of unfavorable output selectivity

Inactive Publication Date: 2013-09-11
INST OF DONGGUAN SUN YAT SEN UNIV +1
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AI Technical Summary

Problems solved by technology

And the process is also not conducive to selective adjustment of problematic output

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  • Image colorization method based on L1 mixed norm solving
  • Image colorization method based on L1 mixed norm solving
  • Image colorization method based on L1 mixed norm solving

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Embodiment Construction

[0030] 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.

[0031]Assuming that adjacent pixels with similar brightness values ​​in space have similar color values, the present invention proposes a simple colorization method based on this assumption, which requires neither accurate image segmentation nor accurate region tracking. We then transform this colorization problem into an optimization problem that can be efficiently solved by existing algorithms. In order to get better results, we use the L1 and L2 mixed norm to so...

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Abstract

The invention discloses an image colorization method based on L1 mixed norm solving. The image colorization method includes (1) inputting a gray image, (2) inputting initial color lines, namely painting the color lines on different areas of the input image to change the gray image into a color image with the color lines, (3) inducing U and V channel values for utilization of the Y channel value and converting the color image acquired before into the YUV space, and recording the initial color value of the image in the space as b0, (4) according to the fact that neighboring pixels have the similar color values, performing colorization by diffusing the U and V channel values of the initial color pixels to the surrounding, (5) normalizing the objective function for solving the U channel value to obtain the factor xu of the U channel value and the factor xv of the V channel value, and (6) solving the xu and xv according to the normalized objective function and converting the Y, U and V channel values into the RGB(red, green and blue) space. On the basis of an L1 norm algorithm, the final image is natural in terms of color saturation and has optimal visual effects.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image colorization method based on L1 mixed norm solution. Background technique [0002] Color plays an important role in the process of human cognition of the world. For example, if you watch black and white TV after getting used to color TV, you will obviously feel the impact of lack of color on the expressiveness of the picture. Therefore, adding the proper color to a black and white image, movie or TV show has the potential to greatly improve the visual effect. Colorization is one such technique, which was used as early as 1970 to process lunar images obtained by the Apollo moon landing, and later achieved great success in the refurbishment of old movies. To this day, colorization is still an interesting and challenging research topic in the image processing community. [0003] Different from the pseudo-colorization process used in medicine, remote sensing and o...

Claims

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Application Information

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IPC IPC(8): G06T11/00G06T11/40
Inventor 吴雪莲罗笑南肖剑徐金柳
Owner INST OF DONGGUAN SUN YAT SEN UNIV
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