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Image processing device and image processing method

An image processing device and image processing technology, applied in image data processing, image enhancement, image analysis, etc., can solve the problems of fewer images, increased processing time, and the inability to obtain the number of composites, etc.

Active Publication Date: 2019-02-22
EVIDENT CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, in the technology described in Patent Document 1, only an image captured temporally before or an image captured later is used as a reference image.
Therefore, there are unusable images among images temporally close to the reference image
Therefore, sometimes the number of images suitable for synthesis is too small to obtain the desired number of composites (desired noise reduction effect)
In addition, the processing time required to obtain the required number of combined images may increase

Method used

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  • Image processing device and image processing method
  • Image processing device and image processing method
  • Image processing device and image processing method

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no. 1 approach

[0055] Hereinafter, a first embodiment of the present invention will be described with reference to the drawings. figure 1 It is a block diagram showing the configuration of the image processing device 10 in this embodiment. exist figure 1 Among them, the image processing device 10 includes a composition control unit 11 and a frame memory (memory) 12 . The synthesis control unit 11 includes an image selection unit 13 and a synthesis processing unit 14 , and generates a synthesized image. The frame memory 12 stores input video signals (a plurality of captured images). The video signal is, for example, a moving image and includes frames obtained by continuous shooting.

[0056] When a compositing instruction is input, the image selection unit 13 selects a reference image to be composited and a plurality of composite target images to be composited with the reference image from among the frames included in the video signal stored in the frame memory 12 . The synthesis processi...

no. 2 approach

[0086] Next, a second embodiment of the present invention will be described with reference to the drawings. In the present embodiment, the reference image is selected based on the amount of motion of the subject estimated by the motion amount estimating unit 21 described later.

[0087] Figure 8 It is a block diagram showing the configuration of the image processing device 20 in this embodiment. exist Figure 8 Among them, the image processing device 20 includes a composition control unit 11 , a frame memory 12 , and a motion amount estimation unit 21 . The composition control unit 11 and the frame memory 12 are the same as those in the first embodiment. The exercise amount estimation unit 21 estimates the exercise amount X of the subject. In addition, there are several methods of estimating the amount of motion of a subject. For example, the following methods are considered: estimating the motion amount of the subject within a newly input frame by comparing the luminanc...

no. 3 approach

[0119] Next, a third embodiment of the present invention will be described with reference to the drawings. In this embodiment, the required minimum number of the total of the reference image and the image to be synthesized (hereinafter referred to as the required number of synthesized images) is set according to the amount of noise included in each frame.

[0120] Figure 14 It is a block diagram showing the configuration of the image processing device 30 in this embodiment. In the illustrated example, the image processing device 30 includes a composition control unit 11 , a frame memory 12 , and a noise amount estimation unit 31 . The composition control unit 11 and the frame memory 12 are the same as those in the second embodiment.

[0121] The noise amount estimating section 31 estimates the noise amount of a frame. As a method of estimating the amount of noise, for example, it is estimated from a gain value. The noise amount estimating unit 31 uses a gain value determi...

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Abstract

The invention provides an image processing device and an image processing method. The frame memory stores a plurality of captured images. The image selection unit selects, from the plurality of images stored in the frame memory, a reference image to be a synthesis reference except for an image with the earliest shooting time and an image with the latest shooting time. An image to be combined with the reference image is selected from the subsequent image group. The synthesis processing unit synthesizes the target image selected by the image selection unit with the reference image selected by the image selection unit to generate a synthesized image.

Description

technical field [0001] The present invention relates to an image processing device, an image processing method, and a program. Background technique [0002] Conventionally, a method is known in which, in the process of synthesizing a plurality of images to remove noise in the temporal direction, an image with the earliest shooting time among a plurality of images stored in a frame memory is set as a reference image, and only the reference image is used for shooting. Images after the time are synthesized; the image with the latest shooting time is set as a reference image, and only images before the shooting time of the reference image are used for synthesis (for example, refer to Japanese Patent Laid-Open No. 2012-186593). [0003] However, in the technique described in Patent Document 1, only images captured temporally before or images captured later are used as the reference image. Therefore, there are unusable images among images temporally close to the reference image. ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N5/232H04N5/217
CPCG06T2207/10016G06T2207/20221G06T5/50H04N23/81H04N23/6811H04N23/6845G06T5/00G06T5/70G06T2207/20216
Inventor 浜田裕介
Owner EVIDENT CORP
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