Food image color enhancement method based on color space characteristics

A technology of color enhancement and color space, applied in the field of image processing, to achieve the effect of increased color density, bright colors and avoiding yellowing

Active Publication Date: 2015-12-23
XIDIAN UNIV
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  • Application Information

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Problems solved by technology

This method uses the characteristics of the separation of chroma and brightness in the HSI color s

Method used

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  • Food image color enhancement method based on color space characteristics
  • Food image color enhancement method based on color space characteristics
  • Food image color enhancement method based on color space characteristics

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Embodiment Construction

[0084] The present invention will be further described below in conjunction with the accompanying drawings.

[0085] Reference attached figure 1 , the step that the present invention realizes is described in further detail:

[0086] Step 1, input image and preset fixed point:

[0087] Input the image to be enhanced and provide the red value R of each pixel of the image i , green value G i , blue value B i ;

[0088] Preset fixed-point sequences of two color spaces, HSI and HSV, among which HSI color space includes HSI tone coefficient fixed-point sequence, HSI saturation correction fixed-point sequence and HSI brightness correction fixed-point sequence, HSI color space includes HSV tone coefficient fixed-point sequence and HSV Saturation correction fixed-point sequence;

[0089] Step 2, performing linear processing on the preset fixed-point sequences of the two color spaces of HSI and HSV to generate corresponding functions.

[0090] (a) The preset HSI tone coefficient ...

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Abstract

The invention discloses a food image color enhancement method based on color space characteristics. The method comprises steps that, (1), an image is inputted, and fixed points are preset; (2), for preset HSI and HSV color space fixed point sequences, linear processing is carried out to generate corresponding functions; (3), tone coefficient value calculation based on the HSI color space is carried out; (4), saturation value rectification based on the HSI color space is carried out; (5), luminance value rectification based on the HSI color space is carried out; (6), tone coefficient value calculation based on the HSV color space is carried out; and (7), saturation value rectification based on the HSV color space is carried out. Dual processing on the image is carried out in combination with HIS and HSV color space characteristics, color concentration increase is not only realized, but also the color brightening effect is further realized. According to the color space and food color characteristics, a corresponding saturation and brightness rectification curve is designed, a corresponding tone coefficient curve is further designed, problems of yellow discoloration generation and color cast are avoided, and the excellent food color enhancement effect is realized.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to the field of image color enhancement, in particular to a method for color enhancement of food images based on color space characteristics. The invention can be used for the post-processing of photographed food images, can effectively improve the colorful degree of food, and greatly improves the quality of photographed food photos. Background technique [0002] In recent years, with the popularity of smart phones, more and more people take pictures and upload food pictures. At present, image color enhancement methods mainly include methods based on Retinex theory, and correction methods based on color spaces such as YUV, HSI or HSV. The method based on the Retinex theory will cause a large shift or distortion of the image color, which is not suitable for practical applications. Correction methods based on color spaces such as YUV, HSI or HSV can effectively separa...

Claims

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Application Information

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IPC IPC(8): G06T5/40
Inventor 宋彬杨荣坚秦浩柯旭
Owner XIDIAN UNIV
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