Digital image color correcting method and realizing device

Abstract

The invention relates to a digital image color correcting method and a realizing device which belong to the technical field of digital image processing. The digital image color correcting method includes firstly converting a digital image into a luminance space image and a hue space image; diving the hue space image into multiple color areas; dividing and determining a mapping method of each color area according to the hue space image; converting pixel of the corresponding color area by the determined mapping method, and finally generating a corrected digital image. The problem that only some color areas can be corrected by a linear correcting method is solved by the method and the device, and meanwhile, the problems of high operational difficulty and possible change of input image luminance are solved. The digital image color correcting method and the realizing method can correct color of the image on the premise without changing the input image luminance and is fine in correcting effect, low in complexity, convenient in realizing ways, low in realizing cost and wider in application range.

Description

technical field [0001] The present invention relates to the technical field of digital image processing, in particular to the technical field of digital image correction, in particular to a digital image color correction method and an implementation device. Background technique [0002] A digital image is produced after the light is reflected by the object and then processed by sampling and quantification of the basic imaging system composed of lens, sensor, and image signal processor. If sampling and quantization are not considered, this process can be simplified with the following formula: [0003] [0004] Among them, x, y, z are the spatial coordinates of the subject, λ is the wavelength of visible light, e is the incident light intensity, s is the reflection function of the subject, ρ is the transmission function of the imaging system, and k is the RGB three colors. x*, y* are the projections of the space coordinates of the object on the imaging plane. It can be se...

AI Technical Summary

Problems solved by technology

The disadvantage is that the cost of hardware implementation is relatively high, and to obtain better results, the lookup table area needs to be divided into finer areas. The offline calculation of the lookup table under different color temperatures is also relatively large, and the corresponding control is also extremely complicated.

Even if there are some improved algorithms, such as the realization of 3DLUT on 1DLUT described in the document "Real-time color gamut mapping method for digital TV display quality enhancement", and as described in the document "Tetrahedron interpolation method based on four-input one-dimensional lookup table" As described above, the cube is simplified to a tetrahedron, but the overall implementation cost is still relatively high

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