Gaussian pyramid and anisotropic filtering-based image depth of field rendering method

Abstract

A Gaussian pyramid and anisotropic filtering-based image depth of field rendering method disclosed by the present invention comprises the following steps of for an inputted depth image, constructing a Gaussian pyramid to pre-process; for the filtered depth image, utilizing an optical depth of field model to calculate the radius of a dispersion circle; for a focusing area in a dispersion circle image, constructing an isotropic Gaussian filtering kernel to filter; rounding and layering the filtered dispersion circle image; for the layers of the dispersion circle, constructing an anisotropic Gaussian filtering kernel and combining the inputted image to filter. According to the present invention, by constructing the Gaussian pyramid to pre-process the input scene depth image, and introducing the fuzzy and hierarchical anisotropic Gaussian filtering of the dispersion circle image, the rendering method is suitable for a scene depth image that is obtained by a mainstream depth image obtaining method, is low in resolution and has the black noisy points, and a rendering result has the better subjective image quality and a more accurate depth of field effect.

Description

technical field [0001] The invention relates to the technical field of computer image processing, in particular to an image depth-of-field rendering method based on a Gaussian pyramid and anisotropic filtering. Background technique [0002] Depth of field is an important concept in the field of optical imaging and photography. It refers to the front and rear distance range of the subject measured by the clear imaging of the object in front of the camera lens or the human visual system. In an image with depth-of-field effect, the scene within the focus range is clear and sharp, while the scene outside the focus range, including the scene whose object distance is smaller than the focus range (foreground) and larger than the focus range (background) is blurred of. [0003] According to the theory of optical imaging, depth-of-field images can be captured directly by a large-aperture imaging system. For an image with clear background and background, how to obtain a blurred effec...

AI Technical Summary

Problems solved by technology

In practical applications, such as post-processing depth rendering of real photos, the resolution of the depth image obtained by mainstream depth acquisition methods, such as the binocular parallax method, is low and there are black noises, so the above methods will cause various distortions. Including color leakage, blurred discontinuities, and jagged distortion at the edges of objects, etc.

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