JP2013138522A - Image processing apparatus and program - Google Patents
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Abstract
Description
本発明は、同一の被写体を撮影した複数枚の画像を重ね合わせる、いわゆるマルチプレーン加算処理を行う画像処理装置、及び、プログラムに関する。 The present invention relates to an image processing apparatus and a program for performing a so-called multiplane addition process in which a plurality of images obtained by photographing the same subject are superimposed.
デジタルカメラやビデオカメラ等（以下、カメラという）で使用する固体撮像素子のダイナミックレンジは狭いので、明暗の差が大きい被写体を撮像する場合に、被写体の全てについて適切な露光を設定することは困難である。そのため、暗い部分に露光を合わせると、明るい部分は白く飛び（白飛び）、逆に、明るい部分に露光を合わせると、暗い部分は黒く潰れる（黒潰れ）。そこで、同一の被写体を短い露光時間で撮影した短露光画像と、長い露光時間で撮影した長露光画像を重ね合わせる、いわゆるマルチプレーン加算処理を行って、明るい部分と暗い部分の両方について適正露光画像を得る画像処理装置及び方法が知られている（例えば、特許文献１）。 Since the dynamic range of solid-state image sensors used in digital cameras, video cameras, etc. (hereinafter referred to as cameras) is narrow, it is difficult to set appropriate exposure for all subjects when imaging subjects with large differences in brightness. It is. Therefore, when the exposure is adjusted to the dark portion, the bright portion is whitened (whiteout), and conversely, when the exposure is adjusted to the bright portion, the dark portion is blackened (black crushing). Therefore, by performing a so-called multi-plane addition process that superimposes a short exposure image obtained by photographing the same subject with a short exposure time and a long exposure image obtained by a long exposure time, an appropriate exposure image is obtained for both bright and dark portions. An image processing apparatus and method for obtaining the above are known (for example, Patent Document 1).
しかし、短露光画像に長露光画像を単純に重ね合わせて、輝度を加算すると、短露光画像の暗い部分については適切な画像が得られるが、短露光画像の明るい部分には、白飛びが生じる。つまり、単純なマルチプレーン加算処理では、黒潰れは解消するが、白飛びは解消しないという問題がある。 However, when the long exposure image is simply superimposed on the short exposure image and the luminance is added, an appropriate image is obtained for the dark portion of the short exposure image, but overexposure occurs in the bright portion of the short exposure image. . In other words, the simple multi-plane addition processing has a problem that black crushing is eliminated but whiteout is not eliminated.
本発明は、このような背景に鑑みてなされたものであり、明暗の差が大きい被写体を撮像する場合に生じる白飛びと黒潰れを解消する画像処理装置及びプログラムを提供するものである。 The present invention has been made in view of such a background, and provides an image processing apparatus and a program that eliminates whiteout and blackout that occur when a subject having a large difference in brightness is imaged.
本発明の画像処理装置は、上記の課題を解決するためになされたもので、基準画像に前記基準画像と同一の被写体を撮像した追加画像を重ね合わせる画像処理装置において、 前記基準画像を、当該領域に属する画素の輝度に応じて、複数の輝度領域に分割する領域分割手段と、前記基準画像に前記複数の輝度領域に相当する前記追加画像の領域の画像を所定の枚数だけ重ね合わせるとともに、前記所定の枚数は、当該輝度領域に属する画素の輝度が低い場合には多く、当該輝度領域に属する画素の輝度が高い場合には少なくなるように設定されている画像重合手段と、を備えるものである。 An image processing apparatus of the present invention is made to solve the above-described problem. In the image processing apparatus that superimposes an additional image obtained by capturing the same subject as the reference image on the reference image, the reference image is In accordance with the luminance of the pixels belonging to the region, a region dividing unit that divides into a plurality of luminance regions, and superimposing a predetermined number of images of the additional image region corresponding to the plurality of luminance regions on the reference image, The predetermined number of images includes image superimposing means that is set to be large when the luminance of the pixels belonging to the luminance area is low and low when the luminance of the pixels belonging to the luminance area is high It is.
本発明によれば、いわゆるマルチプレーン加算処理において、黒潰れと白飛びを解消して、品質の高い画像が得られる。 According to the present invention, in the so-called multi-plane addition process, blackout and whiteout are eliminated, and a high-quality image can be obtained.
以下、図面を参照し、本発明の実施形態を説明する。 Hereinafter, embodiments of the present invention will be described with reference to the drawings.
［実施形態１］
図１は、実施形態に係るデジタルカメラ装置１の構成を示す図である。図１に示すように、デジタルカメラ装置１は、光学レンズ装置２、ＣＣＤ３、Ａ／Ｄ変換器４、画像記憶部５、基準画像選定回路６、基準画像記憶部７、追加画像記憶部８、輝度ヒストグラム分析回路９、位置ズレ補正回路１０、加算処理回路１１及び制御部１２を備えている。
[Embodiment 1]
FIG. 1 is a diagram illustrating a configuration of a digital camera device 1 according to the embodiment. As shown in FIG. 1, the digital camera device 1 includes an optical lens device 2, a CCD 3, an A / D converter 4, an image storage unit 5, a reference image selection circuit 6, a reference image storage unit 7, an additional image storage unit 8, A luminance histogram analysis circuit 9, a positional deviation correction circuit 10, an addition processing circuit 11 and a control unit 12 are provided.
光学レンズ装置２は、レンズと絞りと焦点調整装置およびシャッター装置等から構成されて、被写体の画像をＣＣＤ３上に結像する装置である。 The optical lens device 2 includes a lens, a diaphragm, a focus adjustment device, a shutter device, and the like, and forms an image of a subject on the CCD 3.
ＣＣＤ３は、いわゆる固体撮像素子であり、ＣＣＤ３上に結像された画像を多数の画素に分解して、各画素の輝度を電圧の強弱に変換して、Ａ／Ｄ変換器４に出力する。 The CCD 3 is a so-called solid-state imaging device, which decomposes an image formed on the CCD 3 into a large number of pixels, converts the luminance of each pixel into a voltage level, and outputs the voltage to the A / D converter 4.
Ａ／Ｄ変換器４は、電圧の強弱として入力された各画素の輝度をデジタル信号に変換して画像記憶部５に送る。 The A / D converter 4 converts the luminance of each pixel input as a voltage strength into a digital signal and sends it to the image storage unit 5.
画像記憶部５は、Ａ／Ｄ変換器４から送られた画像を記憶する記憶装置である。つまり、画像記憶部５は光学レンズ装置２で撮像した被写体の画像をデジタル信号の集合の形で記憶する。なお、デジタルカメラ装置１は連写機能を有し、１回のシャッターボタン押下で自動的に複数枚の画像を撮影するように構成されている。また、被写体の撮影は所定の時間的間隔で複数回行うので、同一の被写体を撮影した、実質的に同一の複数の画像が画像記憶部５に記憶される。 The image storage unit 5 is a storage device that stores the image sent from the A / D converter 4. That is, the image storage unit 5 stores the subject image captured by the optical lens device 2 in the form of a set of digital signals. The digital camera device 1 has a continuous shooting function and is configured to automatically take a plurality of images by pressing the shutter button once. In addition, since photographing of the subject is performed a plurality of times at predetermined time intervals, a plurality of substantially identical images obtained by photographing the same subject are stored in the image storage unit 5.
基準画像選定回路６は、画像記憶部５から同一の被写体について複数枚撮影された画像を読み込み、前記画像を時系列に並べた場合に中央に位置する画像を基準画像として選定し、基準画像記憶部７に送る。なお、基準画像以外の複数の画像（以下、追加画像という。）は、追加画像記憶部８に送られる。 The reference image selection circuit 6 reads a plurality of images taken of the same subject from the image storage unit 5, selects an image located in the center when the images are arranged in time series, and stores the reference image as a reference image. Send to part 7. A plurality of images other than the reference image (hereinafter referred to as additional images) are sent to the additional image storage unit 8.
輝度ヒストグラム分析回路９は、基準画像記憶部７から前記基準画像を読み込み、前記基準画像の画素を、一定の輝度幅を有する複数の輝度階級に分類し、各輝度階級に属する画素数の分布（輝度ヒストグラム）を生成する。その輝度ヒストグラムの中央値を算出し、この値を、前記基準画像を明領域と暗領域に区分する閾値とする。そして、前記閾値以下の画素を有する領域、つまり暗領域の画像を加算処理回路１１に送る。 The luminance histogram analysis circuit 9 reads the reference image from the reference image storage unit 7, classifies the pixels of the reference image into a plurality of luminance classes having a certain luminance width, and distributes the number of pixels belonging to each luminance class ( Luminance histogram). A median value of the luminance histogram is calculated, and this value is set as a threshold value for dividing the reference image into a bright region and a dark region. Then, an area having pixels equal to or smaller than the threshold value, that is, an image of a dark area is sent to the addition processing circuit 11.
撮影範囲の中の被写体の位置が基準画像と追加画像で異なる場合があるので、位置ズレ補正回路１０は、基準画像記憶部７と追加画像記憶部８から、それぞれ基準画像と追加画像を読み込み、追加画像における被写体の位置が基準画像における被写体の位置と同じになるように補正する。そして、補正された前記追加画像を加算処理回路１１に送る。 Since the position of the subject in the shooting range may be different between the reference image and the additional image, the positional deviation correction circuit 10 reads the reference image and the additional image from the reference image storage unit 7 and the additional image storage unit 8, respectively. Correction is performed so that the position of the subject in the additional image is the same as the position of the subject in the reference image. Then, the corrected additional image is sent to the addition processing circuit 11.
加算処理回路１１は、位置ズレ補正回路１０で補正された追加画像を読み込み、前記暗領域に相当する追加画像の領域を特定する。その後、基準画像の画素の輝度に暗領域に相当する追加画像の領域の画素の輝度を加算し、合成画像を生成する。 The addition processing circuit 11 reads the additional image corrected by the positional deviation correction circuit 10 and specifies the area of the additional image corresponding to the dark area. Thereafter, the luminance of the pixel in the additional image area corresponding to the dark area is added to the luminance of the pixel in the reference image to generate a composite image.
制御部１２は、デジタルカメラ装置１を制御するコンピュータであり、図示しない記憶手段に書き込まれたプログラムに従って、加算処理回路１１等を制御して、画像処理等を実行させる。 The control unit 12 is a computer that controls the digital camera device 1 and controls the addition processing circuit 11 and the like according to a program written in a storage unit (not shown) to execute image processing and the like.
次に、図２は、デジタルカメラ装置１のシャッターボタンが押された場合に、制御部１２の制御で実行される画像処理手順を示すフローチャートである。なお、前述したように、デジタルカメラ装置１は連写機能を有し、本実施形態では、シャッターボタンが押された場合に、同一の被写体を３回撮影したものとする。また、制御部１２はデジタルカメラ装置１の各部を制御するので、制御部１２の逐一の言及は省略する。以下、図２を参照しながら、これらの画像処理手順を説明する。 Next, FIG. 2 is a flowchart illustrating an image processing procedure executed by the control of the control unit 12 when the shutter button of the digital camera device 1 is pressed. As described above, the digital camera device 1 has a continuous shooting function, and in the present embodiment, it is assumed that the same subject is photographed three times when the shutter button is pressed. Moreover, since the control part 12 controls each part of the digital camera apparatus 1, every reference of the control part 12 is abbreviate | omitted. Hereinafter, these image processing procedures will be described with reference to FIG.
まず、シャッターボタンが押されると、図３に示すような３枚の画像photo_10、photo_11、photo_12が撮影されて、画像記憶部５に記憶される（ステップＳ１１）。 First, when the shutter button is pressed, three images photo_10, photo_11 and photo_12 as shown in FIG. 3 are taken and stored in the image storage unit 5 (step S11).
次に、基準画像選定回路６が、３枚の画像photo_10、photo_11、photo_12の中から、２
番目に撮影された画像photo_11を基準画像に選ぶ（ステップＳ１２）。そして、基準画像photo_11は基準画像記憶部７に送られ、画像photo_10、photo_12は追加画像記憶部８に送られる。
Next, the reference image selection circuit 6 selects 2 images from the three images photo_10, photo_11, and photo_12.
The image photo_11 photographed second is selected as the reference image (step S12). The reference image photo_11 is sent to the reference image storage unit 7, and the images photo_10 and photo_12 are sent to the additional image storage unit 8.
次に、輝度ヒストグラム分析回路９は、基準画像photo_11を分析して、図４に示すような輝度ヒストグラムを生成する（ステップＳ１３）。 Next, the luminance histogram analysis circuit 9 analyzes the reference image photo_11 and generates a luminance histogram as shown in FIG. 4 (step S13).
さらに輝度ヒストグラム分析回路９は、図４に示した輝度ヒストグラムから、輝度の中央値を算出する。その値を閾値ｂとし、基準画像photo_11のうち閾値ｂ以下の輝度を有する領域を暗領域とする（ステップＳ１４）。本実施形態では、図５に示す基準画像photo_11の、山２１、木２２、背景２３を暗領域とし、太陽２４、トラック２５、人２６及び箱２７を明領域として、基準画像photo_11が２つの領域に区分されたものとする。 Further, the luminance histogram analysis circuit 9 calculates a median luminance from the luminance histogram shown in FIG. The value is set as a threshold value b, and an area having a luminance equal to or lower than the threshold value b in the reference image photo_11 is set as a dark area (step S14). In the present embodiment, the reference image photo_11 of the reference image photo_11 shown in FIG. 5 includes the mountain 21, the tree 22, and the background 23 as dark areas, the sun 24, the track 25, the person 26, and the box 27 as bright areas, and the reference image photo_11 includes two areas. It shall be classified into
次に、位置ズレ補正回路１０が、基準画像記憶部７と追加画像記憶部８から、基準画像photo_11と追加画像photo_10、photo_12を読み込み、基準画像photo_11を基準にして、追加画像photo_10、photo_12の補正を行い、補正後のphoto_10、photo_12を加算処理回路１１に送る（ステップＳ１５）。 Next, the positional deviation correction circuit 10 reads the reference image photo_11 and the additional images photo_10 and photo_12 from the reference image storage unit 7 and the additional image storage unit 8, and corrects the additional images photo_10 and photo_12 with reference to the reference image photo_11. The corrected photo_10 and photo_12 are sent to the addition processing circuit 11 (step S15).
最後に、図６に示すように、加算処理回路１１が、追加画像photo_10、photo_12から、山２１、木２２、背景２３を抽出し、photo_13、photo_14を生成する。さらに、基準画像photo_11にphoto_13、photo_14を重ね合わせて、合成画像photo_15を生成する（ステップＳ１６）。 Finally, as shown in FIG. 6, the addition processing circuit 11 extracts the mountain 21, the tree 22, and the background 23 from the additional images photo_10 and photo_12, and generates photo_13 and photo_14. Further, a composite image photo_15 is generated by superimposing photo_13 and photo_14 on the reference image photo_11 (step S16).
以上のように、実施形態１によれば、基準画像の暗領域に相当する追加画像の領域を基準画像に重ね合わせるので、黒潰れと白飛びを解消することができる。 As described above, according to the first embodiment, since the area of the additional image corresponding to the dark area of the reference image is superimposed on the reference image, it is possible to eliminate black crushing and whiteout.
なお、合成する画像は３枚に限定されない。また、同一の画像を複製して追加画像を得てもよい。また、基準画像はユーザーが複数枚の撮影画像の中から任意に選ぶようにしてもよい。 Note that the number of images to be combined is not limited to three. Further, the same image may be duplicated to obtain an additional image. The reference image may be arbitrarily selected from a plurality of photographed images by the user.
なお、閾値ｂは、輝度ヒストグラムにおける輝度の中央値に限定されない。例えば、閾値ｂは輝度の平均値としてもよいし、あるいは、輝度ヒストグラムにおいて画素数が最大となる輝度階級の輝度を、閾値ｂとしてもよい。 Note that the threshold value b is not limited to the median value of luminance in the luminance histogram. For example, the threshold value b may be an average value of luminance, or the luminance of the luminance class having the maximum number of pixels in the luminance histogram may be set as the threshold value b.
なお、ここでは、専用のハードウェアを組み合わせて、画像処理装置を構成した例を示したが、本発明はこのような構成に限定されるものではない。例えば、画像処理装置の全て、あるいは一部をソフトウェアで構成してもよい。また、カメラ本体部分（光学レンズ装置２、ＣＣＤ３、Ａ／Ｄ変換器４、および画像記憶部５）と、その他の部分を別体にしてもよい。また、本発明による画像処理方法を記述したプログラムをコンピュータに読み込ませ、実行させることによって、当該コンピュータが、本発明の画像処理装置として機能するようにしてもよい。 Although an example in which the image processing apparatus is configured by combining dedicated hardware is shown here, the present invention is not limited to such a configuration. For example, all or part of the image processing apparatus may be configured by software. Further, the camera body portion (optical lens device 2, CCD 3, A / D converter 4, and image storage unit 5) may be separated from other portions. Further, the computer may function as the image processing apparatus of the present invention by causing the computer to read and execute a program describing the image processing method according to the present invention.
［実施形態２］
実施形態１では、基準画像の暗領域に相当する追加画像の領域を基準画像に重ね合わせて、画像を合成したが、この場合、追加画像の枚数分の輝度を基準画像の暗領域に属する画素に加算するので、暗領域の閾値近傍の画素と明領域の閾値近傍の画素の輝度の差が大きくなり、加算処理後の画像に輝度の不連続性が生じる可能性がある。これを回避するために、図７に示すように、実施形態２では、実施形態１の手順にステップＳ２１を加えて、暗領域に相当する追加画像の領域に属する画素の輝度に正の重み係数を乗じてマルチプレーン加算処理を行うようにしている。
[Embodiment 2]
In the first embodiment, an additional image area corresponding to the dark area of the reference image is superimposed on the reference image to synthesize the image. In this case, the luminance corresponding to the number of additional images is a pixel belonging to the dark area of the reference image. Therefore, the difference in luminance between the pixels near the threshold value in the dark region and the pixels near the threshold value in the bright region becomes large, and there is a possibility that a discontinuity in luminance occurs in the image after the addition process. In order to avoid this, as shown in FIG. 7, in the second embodiment, step S21 is added to the procedure of the first embodiment, and a positive weighting factor is applied to the luminance of the pixels belonging to the area of the additional image corresponding to the dark area. Multiplane addition processing is performed by multiplying by.
正の重み係数は、暗領域に相当する追加画像の領域に属する画素の輝度が閾値から離れるに従って漸増する関数によって得られ、この関数は、その輝度が閾値に等しい時は０となり、その輝度が０に等しい時は１となる。本実施形態では、輝度ｘ、閾値ｂを用いて、下記式（１）で表される重み関数ｙ（ｘ）を使用する。
追加画像の輝度ヒストグラムに重み関数ｙ（ｘ）を重ねて表示すると図８（ａ）のようになる。暗領域に相当する追加画像の領域に属する画素の輝度に重み関数ｙ（ｘ）を乗じた画像の輝度ヒストグラムを示すと図８（ｂ）のようになる。図８の（ｂ）に示すように、閾値ｂに近い輝度を有する画素ほど輝度が低下する。このように重み関数ｙ（ｘ）を乗じた輝度を基準画像の暗領域の画素の輝度に加算すると、暗領域の閾値ｂに近い画素は加算の影響が減少する。 When the weighting function y (x) is superimposed and displayed on the luminance histogram of the additional image, the result is as shown in FIG. FIG. 8B shows a luminance histogram of an image obtained by multiplying the luminance of the pixel belonging to the additional image region corresponding to the dark region by the weight function y (x). As shown in FIG. 8B, the luminance decreases as the pixel has a luminance close to the threshold value b. When the luminance multiplied by the weight function y (x) is added to the luminance of the pixels in the dark area of the reference image in this way, the influence of the addition is reduced for pixels near the dark area threshold value b.
このように、本実施形態では、暗領域に相当する追加画像の領域に属する画素の輝度に重み関数ｙ（ｘ）を乗じて、加算処理するので、閾値近傍の画素の輝度の不連続性が解消され、明るさにおいて違和感のない自然な画像が得られる。 As described above, in the present embodiment, since the luminance function of the pixel belonging to the area of the additional image corresponding to the dark area is multiplied by the weighting function y (x) and the addition process is performed, the luminance discontinuity of the pixels near the threshold is reduced. It is eliminated and a natural image with no sense of incongruity in brightness is obtained.
［実施形態３］
実施形態１および２では、基準画像を暗領域と明領域の２つの領域に分け、暗領域のみについて加算処理を行ったが、図９に示すように、実施形態３では、実施形態１の手順にステップＳ３１、およびステップＳ３２を加えて、基準画像をその明るさの段階に応じて４つの領域に分け、明るい領域は重ね合わせ枚数を少なくし、暗い領域になるに従い、重ね合わせ枚数を増やすようにする。
[Embodiment 3]
In Embodiments 1 and 2, the reference image is divided into two regions, a dark region and a light region, and addition processing is performed only on the dark region. However, as shown in FIG. 9, in Embodiment 3, the procedure of Embodiment 1 is performed. Step S31 and Step S32 are added to divide the reference image into four regions according to the brightness level, the bright region reduces the number of superimposed images, and the number of superimposed images increases as the region becomes darker. To.
まず、ステップＳ３１において輝度ヒストグラム分析回路９は、基準画像記憶部７から読み込んだ基準画像photo_11を分析して、輝度ヒストグラム（図１０参照）を生成する。次に、この輝度ヒストグラムを基に、基準画像photo_11を明るさの段階に応じて４つの輝度領域に分割する。ここでは、この４つの輝度領域を明るい方から順にＲ０、Ｒ１、Ｒ２、Ｒ３と呼ぶことにする。本実施形態では、基準画像photo_11の太陽２４は輝度領域Ｒ０に属し、トラック２５、人２６及び箱２７は輝度領域Ｒ１に属し、木２２は輝度領域Ｒ２に属し、山２１、背景２３は輝度領域Ｒ３に属すように分けられる（図５参照）。 First, in step S31, the luminance histogram analysis circuit 9 analyzes the reference image photo_11 read from the reference image storage unit 7, and generates a luminance histogram (see FIG. 10). Next, based on the luminance histogram, the reference image photo_11 is divided into four luminance regions according to the brightness level. Here, these four luminance areas are called R0, R1, R2, and R3 in order from the brighter. In this embodiment, the sun 24 of the reference image photo_11 belongs to the luminance region R0, the track 25, the person 26 and the box 27 belong to the luminance region R1, the tree 22 belongs to the luminance region R2, the mountain 21 and the background 23 are the luminance region. They are divided so as to belong to R3 (see FIG. 5).
次にステップＳ３２を実行して、基準画像に追加画像を重ね合わせる。前述したように、重ね合わせる追加画像の枚数は、明るい領域については少なく、暗くなるにつれて枚数が多くなるように設定している。さらに詳しく言えば、輝度領域Ｒ０については、０枚；つまり重ね合わせをしない。輝度領域Ｒ１、Ｒ２およびＲ３については、それぞれ１枚、２枚および３枚の追加画像を重ね合わせるようにしている。 Next, step S32 is executed to superimpose the additional image on the reference image. As described above, the number of additional images to be superimposed is set to be small for a bright region and to increase as it becomes darker. More specifically, the luminance region R0 is 0; that is, it is not overlapped. For the luminance regions R1, R2, and R3, one, two, and three additional images are overlaid, respectively.
したがって、本実施形態では、図１１に示すように、基準画像photo_11の輝度領域Ｒ０（太陽１）には重ね合わせを行わず、輝度領域Ｒ１（トラック２５、人２６及び箱２７）に、輝度領域Ｒ１に相当する追加画像の領域を１枚重ね合わせる。そして、輝度領域Ｒ２（木２２）に、輝度領域Ｒ２に相当する追加画像の領域を２枚重ね合わせる。そして、輝度領域Ｒ３（山２１、背景２３）に、輝度領域Ｒ３に相当する追加画像の領域を３枚重ね合わせ、合成画像photo_30を生成する。 Therefore, in the present embodiment, as shown in FIG. 11, the luminance region R0 (sun 1) of the reference image photo_11 is not overlaid, and the luminance region R1 (track 25, person 26 and box 27) One additional image area corresponding to R1 is superimposed. Then, two additional image regions corresponding to the luminance region R2 are superimposed on the luminance region R2 (tree 22). Then, three additional image regions corresponding to the luminance region R3 are superimposed on the luminance region R3 (mountain 21, background 23) to generate a composite image photo_30.
以上のように、実施形態３では、基準画像を明るさに応じて複数の領域に分けて、その明るさに応じた枚数の画像を重ね合わせるようにしたので、よりきめ細やかに明るさを調整した合成画像を得ることができる。 As described above, in the third embodiment, the reference image is divided into a plurality of areas according to the brightness, and the number of images corresponding to the brightness is superimposed, so that the brightness is adjusted more finely. The synthesized image can be obtained.
なお、実施形態３では、基準画像を、その明るさに応じて４つの領域に分けたが、その領域の数は、必要に応じて変更できる。また、各領域についての重ね合わせの枚数も例示にすぎない。 In the third embodiment, the reference image is divided into four areas according to the brightness, but the number of the areas can be changed as necessary. Also, the number of overlaps for each region is merely an example.
１・・・デジタルカメラ装置、２・・・光学レンズ装置、３・・・ＣＣＤ、４・・・Ａ／Ｄ変換器、５・・・画像記憶部、６・・・基準画像選定回路、７・・・基準画像記憶部、８・・・追加画像記憶部、９・・・輝度ヒストグラム分析回路、１０・・・位置ズレ補正回路、１１・・・加算処理回路、１２・・・制御部、ｂ・・・閾値、２１・・・山、２２・・・木、２３・・・背景、２４・・・太陽、２５・・・トラック、２６・・・人、２７・・・箱、ｙ・・・重み関数、Ｒ０・・・輝度領域、Ｒ１・・・輝度領域、Ｒ２・・・輝度領域、Ｒ３・・・輝度領域 DESCRIPTION OF SYMBOLS 1 ... Digital camera apparatus, 2 ... Optical lens apparatus, 3 ... CCD, 4 ... A / D converter, 5 ... Image memory | storage part, 6 ... Reference | standard image selection circuit, 7 Reference image storage unit, 8 ... Additional image storage unit, 9 ... Luminance histogram analysis circuit, 10 ... Position shift correction circuit, 11 ... Addition processing circuit, 12 ... Control unit, b ... threshold, 21 ... mountain, 22 ... tree, 23 ... background, 24 ... sun, 25 ... truck, 26 ... people, 27 ... box, y ..Weighting function, R0 ... luminance region, R1 ... luminance region, R2 ... luminance region, R3 ... luminance region
Claims (4)
前記基準画像を、当該領域に属する画素の輝度に応じて、複数の輝度領域に分割する領域分割手段と、
前記基準画像に前記複数の輝度領域に相当する前記追加画像の領域の画像を所定の枚数だけ重ね合わせるとともに、前記所定の枚数は、当該輝度領域に属する画素の輝度が低い場合には多く、当該輝度領域に属する画素の輝度が高い場合には少なくなるように設定されている画像重合手段と、
を備えることを特徴とする画像処理装置。 In an image processing apparatus that superimposes an additional image obtained by capturing the same subject as the reference image on a reference image,
Area dividing means for dividing the reference image into a plurality of luminance areas according to the luminance of the pixels belonging to the area;
A predetermined number of images of the additional image region corresponding to the plurality of luminance regions are superimposed on the reference image, and the predetermined number is large when the luminance of pixels belonging to the luminance region is low. Image superimposing means set to decrease when the luminance of the pixels belonging to the luminance region is high,
An image processing apparatus comprising:
前記基準画像を、当該領域に属する画素の輝度に応じて、複数の輝度領域に分割する領域分割手段、
前記基準画像に前記複数の輝度領域に相当する前記追加画像の領域の画像を所定の枚数だけ重ね合わせるとともに、前記所定の枚数は、当該輝度領域に属する画素の輝度が低い場合には多く、当該輝度領域に属する画素の輝度が高い場合には少なくなるように設定されている画像重合手段、
として機能させることを特徴とするプログラム。 A computer provided with an image processing apparatus that superimposes an additional image obtained by capturing the same subject as the reference image on the reference image;
Area dividing means for dividing the reference image into a plurality of luminance areas according to the luminance of pixels belonging to the area;
A predetermined number of images of the additional image region corresponding to the plurality of luminance regions are superimposed on the reference image, and the predetermined number is large when the luminance of pixels belonging to the luminance region is low. Image superimposing means set to decrease when the luminance of the pixels belonging to the luminance region is high,
A program characterized by functioning as
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| CN115866315A (en) * | 2023-02-14 | 2023-03-28 | 深圳市东微智能科技股份有限公司 | Data processing method, device, equipment and computer readable storage medium |
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