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Image sequence denoising method and device

An image sequence and sequence technology, which is applied in the field of image processing and can solve problems such as difficult alignment effects.

Active Publication Date: 2017-01-25
XIAMEN MEITUZHIJIA TECH
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, due to the performance limitations of mobile devices and the interference of noise in low-light environments, it is difficult for these alignment algorithms to guarantee a good alignment effect.

Method used

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  • Image sequence denoising method and device
  • Image sequence denoising method and device

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Embodiment Construction

[0047] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0048] figure 1 A flowchart of a method 100 for denoising an image sequence according to an embodiment of the present invention is shown. Such as figure 1 As shown, the method starts with step S110, performing scaling processing on each image frame in the image sequence to be processed to generate a thumbnail image sequence. Assuming that the image sequence to be processed is continuous N frames of images imges[i], i∈{1,2,3,...,N...

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Abstract

The invention discloses an image sequence denoising method. The method comprises steps as follows: performing scaling processing on each image frame in a to-be-treated image sequence and generating a thumbnail sequence; performing fuzzy detection on the thumbnail sequence, selecting the thumbnail with the lowest fuzzy degree as a base thumbnail, and calculating the luminance coefficient of the base thumbnail; calculating offset thumbnails corresponding to the image frames except the base thumbnail in the thumbnail sequence to obtain an offset thumbnail sequence; generating an aligned image sequence of the to-be-treated image sequence according to the offset thumbnail sequence; calculating the aligning error coefficient of each image frame relative to the base thumbnail according to the aligned image sequence; calculating a gray template of the aligning error coefficient; generating fused weight according to the luminance coefficient, the aligning error coefficients and the gray template; performing pyramid fusion on the fused weight and aligned image sequence, and performing filtering to obtain the denoised image sequence. The invention further discloses a corresponding image sequence denoising device.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image sequence denoising method and device. Background technique [0002] Image denoising algorithms can be divided into two categories according to the number of processed images, one is denoising algorithms based on single-frame images, and the other is denoising algorithms based on continuous multi-frame images (called "image sequences"). Specifically, the denoising algorithm of a single frame image generally uses some nonlinear filtering methods to denoise the image frame. Although these nonlinear filtering methods have a certain effect on preserving strong edge textures, it is generally difficult to preserve weak edge textures. Down; compared with the single-frame image denoising algorithm, the denoising algorithm of continuous multi-frame images can use time domain information to further distinguish weak edges and noise, and achieve a denoising effect that prese...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T5/50
CPCG06T5/50G06T2207/20024G06T2207/20016G06T5/70
Inventor 李骈臻张长定张伟叶志鸿
Owner XIAMEN MEITUZHIJIA TECH
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