Video image stabilization method based on color constant and geometry invariant features

A technology for video stabilization and video image application in the field of image processing

Active Publication Date: 2014-06-04
杭州创逊科技有限公司
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Problems solved by technology

[0007] Aiming at the above-mentioned technical problems existing in the prior art, the present invention provides a video image stabilization method based on color constant and geometric invariant features, which can extract more effective feature

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  • Video image stabilization method based on color constant and geometry invariant features
  • Video image stabilization method based on color constant and geometry invariant features
  • Video image stabilization method based on color constant and geometry invariant features

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[0047] In order to describe the present invention more specifically, the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0048] Such as figure 1 As shown, a video image stabilization method based on color constant and geometric invariant features includes the following steps:

[0049] (1) Acquire the first frame image of the video as the reference frame image for image stabilization.

[0050] (2) Color mode conversion. Traverse each pixel of the RGB image, convert all the pixels of the image from RGB values ​​to color constant values, and perform normalization to obtain the color constant image ICI. The calculation process is as follows:

[0051] Using the Gaussian color model, calculate the spectral component (E A ,E B ,E C ).

[0052] E A ...

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Abstract

The invention discloses a video image stabilization method based on color constant and geometry invariant features. The method comprises the steps of based on the color pattern transformation, building a multi-scale space based on the color constant mode, extracting local invariant feature points based on the color constant and geometry multi-scale, conducting feature point matching and shaking movement estimation on a video image sequence, then calculating the affine transformation matrix of adjacent frame images, conducting transformation on a current frame relative to deformation of a reference frame image through a cumulative affine transformation matrix, achieving motion compensation, finally achieving video image stabilization, removing abnormal motions, such as translation, rotating and scaling between the images, generated by shaking of a camera, of the video images automatically in real time, removing video shaking caused by vibration of the camera, and therefore providing the stable video images.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a video image stabilization method based on color constant and geometric invariant features. Background technique [0002] Due to the vibration of the camera carrier, the video captured by the camera will shake. For example, if the camera is fixed on a building, a vehicle, installed on a device with a motor, or a hand-held camera device, these carriers will vibrate and drive the camera lens, causing the captured video screen to shake. In the case of using a high-magnification lens, a slight vibration will cause severe shaking of the image, resulting in unstable and blurred video, which seriously affects the video quality, causes visual fatigue and even misjudgment for the observer, and also brings difficulties to image post-processing. Video image stabilization is to eliminate video image anomalies caused by camera shake through technical processing, such as...

Claims

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Application Information

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IPC IPC(8): H04N5/21H04N5/14
Inventor 张华熊康锋胡洁韩永华
Owner 杭州创逊科技有限公司
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