JP2011101180A5 - Image processing apparatus and image processing method - Google Patents
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上記目的を達成するために、本発明にかかるひとつの画像処理装置は、３種類以上の露光量で被写体を撮像して得られた３種類以上の画像を用いた画像合成を行う画像処理装置であって、第１の画像の輝度と第２の画像の輝度とに基づき前記画像合成における前記第１の画像の重みを算出する重み計算部と、前記重み計算部において算出された重みを用いて前記画像合成を行う画像合成部と、前記画像合成の結果の画像から得られる統計情報により前記３種類以上の露光量を調整するための情報を生成する画像解析部と、を含み前記第１の画像の露光量は前記３種類以上の露光量において最小となる露光量以外及び最大となる露光量以外の露光量であり、前記第２の画像の露光量は前記第１の画像の露光量よりも大きく、且つ、前記３種類以上の露光量の中で前記第１の画像の露光量の次に大きい露光量であることを特徴とする。
上記のひとつの画像処理装置において、前記３種類以上の露光量で撮像された画像において、最小の露光量で撮像された画像を第３の画像とし、前記第３の画像の次に大きい露光量で撮像された画像を第４の画像としたときに、前記重み計算部において、前記第３の画像の重みが前記第４の画像の輝度を基に算出され、最大の露光量で撮像された画像を第５の画像とし、前記第５の画像の次に小さい露光量で撮像された画像を第６の画像としたときに、前記重み計算部において、前記第５の画像の重みが前記第６の画像の輝度を基に算出されることが好ましい。
上記のひとつの画像処理装置において、前記統計情報は、複数の前記画像合成の結果から求めた平均輝度であることが好ましい。
上記目的を達成するために、本発明にかかるひとつの画像処理方法は、３種類以上の露光量で被写体を撮像して得られた３種類以上の画像を用いた画像合成を行う画像処理方法であって、第１の画像の輝度と第２の画像の輝度とに基づき前記画像合成における前記第１の画像の重みを算出する重み計算のステップと、前記重み計算部において算出された重みを用いて前記画像合成を行う画像合成のステップと、前記画像合成の結果の画像から得られる統計情報により前記３種類以上の露光量を調整するための情報を生成する画像解析のステップと、を含み前記第１の画像の露光量は前記３種類以上の露光量において最小となる露光量以外並びに最大となる露光量以外の露光量であり、前記第２の画像の露光量は前記第１の画像の露光量よりも大きく、且つ、前記３種類以上の露光量の中で前記第１の画像の露光量の次に大きい露光量であることを特徴とする。
上記のひとつの画像処理方法において、前記３種類以上の露光量で撮像された画像において、最小の露光量で撮像された画像を第３の画像とし、前記第３の画像の次に大きい露光量で撮像された画像を第４の画像としたときに、前記重み計算のステップにおいて、前記第３の画像の重みが前記第４の画像の輝度を基に算出され、最大の露光量で撮像された画像を第５の画像とし、前記第５の画像の次に小さい露光量で撮像された画像を第６の画像としたときに、前記重み計算のステップにおいて、前記第５の画像の重みが前記第６の画像の輝度を基に算出されることが好ましい。
上記のひとつの画像処理方法において、前記統計情報は、複数の前記画像合成の結果から求めた平均輝度であることが好ましい。
〔形態１〕 上記目的を達成するために、形態１の画像処理装置は、
３種類以上の露光量で被写体を撮像して得られた３種類以上の画像のうち、第１の画像の輝度と、該第１の画像の次に露光量の大きい第２の画像の輝度とに基づき、該第１の画像に対して画像合成時に用いる重みを算出する重み算出手段と、
前記重み算出手段で算出した重みを用いて、前記３種類以上の画像の重み付け加算を行い、画像を合成する画像合成手段と、を備える。
In order to achieve the above object, one image processing apparatus according to the present invention is an image processing apparatus that performs image composition using three or more types of images obtained by imaging a subject with three or more types of exposure amounts. A weight calculation unit that calculates the weight of the first image in the image composition based on the luminance of the first image and the luminance of the second image, and the weight calculated by the weight calculation unit. An image synthesis unit that performs the image synthesis; and an image analysis unit that generates information for adjusting the three or more types of exposure amounts based on statistical information obtained from an image obtained as a result of the image synthesis. The exposure amount of the image is an exposure amount other than the minimum exposure amount and the maximum exposure amount among the three or more types of exposure amounts, and the exposure amount of the second image is greater than the exposure amount of the first image. Larger than the above three types Wherein the of the next large exposure amount of the exposure amount of the first image in the exposure amount.
In the one image processing apparatus described above, in the image captured with the three or more types of exposure amounts, the image captured with the minimum exposure amount is set as a third image, and the next largest exposure amount after the third image When the image captured in step 4 is the fourth image, the weight calculation unit calculates the weight of the third image based on the luminance of the fourth image and captures the image with the maximum exposure amount. When the image is the fifth image and the image captured with the second smallest exposure amount after the fifth image is the sixth image, the weight calculation unit determines that the weight of the fifth image is the first image. It is preferable to calculate based on the luminance of the six images.
In the one image processing apparatus described above, it is preferable that the statistical information is an average luminance obtained from a plurality of results of the image synthesis.
In order to achieve the above object, one image processing method according to the present invention is an image processing method for performing image composition using three or more images obtained by imaging a subject with three or more exposure amounts. A weight calculation step of calculating a weight of the first image in the image composition based on the luminance of the first image and the luminance of the second image, and the weight calculated by the weight calculation unit. Image synthesis for performing the image synthesis, and image analysis for generating information for adjusting the three or more types of exposure amounts based on statistical information obtained from the image as a result of the image synthesis. The exposure amount of the first image is an exposure amount other than the minimum exposure amount and the maximum exposure amount among the three or more types of exposure amounts, and the exposure amount of the second image is the exposure amount of the first image. More than exposure Hear, and characterized in that it is a next highest exposure amount of the exposure amount of the first image among the three or more exposure.
In the one image processing method described above, in the image captured with the three or more types of exposure amounts, the image captured with the minimum exposure amount is set as a third image, and the next largest exposure amount after the third image In the weight calculation step, the weight of the third image is calculated based on the luminance of the fourth image, and is captured with the maximum exposure amount. In the weight calculation step, the weight of the fifth image is set to be the fifth image, and the sixth image is the image captured with the next smallest exposure amount after the fifth image. It is preferable to calculate based on the luminance of the sixth image.
In the one image processing method described above, it is preferable that the statistical information is an average luminance obtained from a plurality of results of the image synthesis.
[Mode 1] In order to achieve the above object, an image processing apparatus according to mode 1
Among the three or more types of images obtained by imaging the subject with three or more types of exposure amounts, the luminance of the first image and the luminance of the second image having the next largest exposure amount after the first image Weight calculating means for calculating a weight to be used at the time of image synthesis for the first image,
Image synthesis means for performing weighted addition of the three or more types of images using the weights calculated by the weight calculation means and synthesizing the images.
Claims (6)
第１の画像の輝度と第２の画像の輝度とに基づき前記画像合成における前記第１の画像の重みを算出する重み計算部と、
前記重み計算部において算出された重みを用いて前記画像合成を行う画像合成部と、
前記画像合成の結果の画像から得られる統計情報により前記３種類以上の露光量を調整するための情報を生成する画像解析部と、を含み
前記第１の画像の露光量は前記３種類以上の露光量において最小となる露光量以外及び最大となる露光量以外の露光量であり、
前記第２の画像の露光量は前記第１の画像の露光量よりも大きく、且つ、前記３種類以上の露光量の中で前記第１の画像の露光量の次に大きい露光量であることを特徴とする画像処理装置。 An image processing apparatus that performs image composition using three or more types of images obtained by imaging a subject with three or more types of exposure amounts ,
A weight calculation unit for calculating a weight of the first image in the image composition based on the luminance of the first image and the luminance of the second image ;
An image synthesis unit that performs the image synthesis using the weight calculated in the weight calculation unit ;
An image analysis unit that generates information for adjusting the three or more types of exposure amounts based on statistical information obtained from an image obtained as a result of the image synthesis.
The exposure amount of the first image is an exposure amount other than the minimum exposure amount and the maximum exposure amount in the three or more types of exposure amounts,
The exposure amount of the second image is larger than the exposure amount of the first image, and is the second largest exposure amount after the exposure amount of the first image among the three or more types of exposure amounts. An image processing apparatus.
最小の露光量で撮像された画像を第３の画像とし、前記第３の画像の次に大きい露光量で撮像された画像を第４の画像としたときに、
前記重み計算部において、前記第３の画像の重みが前記第４の画像の輝度を基に算出され、
最大の露光量で撮像された画像を第５の画像とし、前記第５の画像の次に小さい露光量で撮像された画像を第６の画像としたときに、
前記重み計算部において、前記第５の画像の重みが前記第６の画像の輝度を基に算出されることを特徴とする請求項１に記載の画像処理装置。 In an image captured with the three or more exposure amounts,
When the image captured with the minimum exposure amount is the third image, and the image captured with the next largest exposure amount after the third image is the fourth image,
In the weight calculation unit, the weight of the third image is calculated based on the luminance of the fourth image,
When an image captured with the maximum exposure amount is set as the fifth image, and an image captured with the next smallest exposure amount after the fifth image is set as the sixth image,
In the weight calculation unit, an image processing apparatus according to claim 1, the weight of the fifth image is characterized Rukoto calculated based on the luminance of the sixth image.
第１の画像の輝度と第２の画像の輝度とに基づき前記画像合成における前記第１の画像の重みを算出する重み計算のステップと、
前記重み計算部において算出された重みを用いて前記画像合成を行う画像合成のステップと、
前記画像合成の結果の画像から得られる統計情報により前記３種類以上の露光量を調整するための情報を生成する画像解析のステップと、を含み
前記第１の画像の露光量は前記３種類以上の露光量において最小となる露光量以外並びに最大となる露光量以外の露光量であり、
前記第２の画像の露光量は前記第１の画像の露光量よりも大きく、且つ、前記３種類以上の露光量の中で前記第１の画像の露光量の次に大きい露光量であることを特徴とする画像処理方法。 An image processing method for performing image composition using three or more images obtained by imaging a subject with three or more exposure amounts,
A weight calculation step of calculating a weight of the first image in the image composition based on the luminance of the first image and the luminance of the second image ;
An image synthesis step of performing the image synthesis using the weight calculated in the weight calculation unit;
And an image analysis step of generating information for adjusting the three or more types of exposure amounts based on statistical information obtained from the image resulting from the image synthesis.
The exposure amount of the first image is an exposure amount other than the minimum exposure amount and the maximum exposure amount in the three or more types of exposure amounts,
The exposure amount of the second image is larger than the exposure amount of the first image, and is the second largest exposure amount after the exposure amount of the first image among the three or more types of exposure amounts. An image processing method characterized by the above.
最小の露光量で撮像された画像を第３の画像とし、前記第３の画像の次に大きい露光量で撮像された画像を第４の画像としたときに、
前記重み計算のステップにおいて、前記第３の画像の重みが前記第４の画像の輝度を基に算出され、
最大の露光量で撮像された画像を第５の画像とし、前記第５の画像の次に小さい露光量で撮像された画像を第６の画像としたときに、
前記重み計算のステップにおいて、前記第５の画像の重みが前記第６の画像の輝度を基に算出されることを特徴とする請求項４に記載の画像処理方法。 In an image captured with the three or more exposure amounts,
When the image captured with the minimum exposure amount is the third image, and the image captured with the next largest exposure amount after the third image is the fourth image,
In the weight calculation step, the weight of the third image is calculated based on the luminance of the fourth image;
When an image captured with the maximum exposure amount is set as the fifth image, and an image captured with the next smallest exposure amount after the fifth image is set as the sixth image,
In step of the weight calculation, an image processing method according to claim 4 the weight of the fifth image is characterized Rukoto calculated based on the luminance of the sixth image.
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| US9531961B2 (en) | 2015-05-01 | 2016-12-27 | Duelight Llc | Systems and methods for generating a digital image using separate color and intensity data |
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| US10558848B2 (en) | 2017-10-05 | 2020-02-11 | Duelight Llc | System, method, and computer program for capturing an image with correct skin tone exposure |
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| US10924688B2 (en) | 2014-11-06 | 2021-02-16 | Duelight Llc | Image sensor apparatus and method for obtaining low-noise, high-speed captures of a photographic scene |
| US11463630B2 (en) | 2014-11-07 | 2022-10-04 | Duelight Llc | Systems and methods for generating a high-dynamic range (HDR) pixel stream |
| KR102273656B1 (en) | 2014-11-24 | 2021-07-05 | 삼성전자주식회사 | Noise level control device of wide dynanamic range image, and image processing system including the same |
| JP6700723B2 (en) * | 2014-12-17 | 2020-05-27 | キヤノン株式会社 | Imaging device and driving method of imaging device |
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