6 results about "Depth of field" patented technology

In a computerized film (digital camera action) production system, a virtual director module takes responsibility for creating sets, and enabling cinematography by creating a synthetic parallax matching of a “set” image to what would have existed before a camera in real motion about the physical location represented. This overcomes failures typical of “green screen” technology in dealing with such conditions as shallow depth of field and low light. Computer generated, synthetic sets from a 3D animator may be projected behind real actors during or after filming. Sythetic sets are seen through a virtual camera as photo-realistic because they are skinned with textures, and structured geometrically, to match reality represented by actual still photography of a physical environment, such as buildings, walls, streets, landscapes, props, and the like.

The invention discloses an adaptive histogram reinforced defogging method based on a dark channel. According to the method, a dark channel model is adopted to obtain a dark channel map of a foggy image, the dark channel map is divided into a plurality of square blocks, and a weighting factor of each square block is calculated; then, a sub-block histogram of each square block is subjected to statistics with an implementation method of CLAHE; according to the sub-block histogram, a sub-block limit contrast histogram is calculated; a histogram balanced grey mapping relationship table corresponding to the square block is calculated based on the contrast histogram, and contrast stretching grey mapping is calculated; a final grey mapping relationship table is calculated by using the weighting factor, the grey mapping relationship table and the contrast stretching grey mapping; by using the grey mapping tables of the four adjacent square blocks, a center pixel of each block adopts an original grey mapping relationship, while the other pixels are acquired via grey mapping interpolation of the four blocks, and a defogged image is obtained; and finally, the image is output. According to the adaptive histogram reinforced defogging method based on the dark channel, provided by the invention, the dark channel model and a traditional CLAHE image reinforcement algorithm are combined, so that depth information in a foggy day is effectively utilized and complicated transmission pattern estimation is avoided; a single image is processed; and the adaptive histogram reinforced defogging method is good in defogging effect and high in practicality.

The invention discloses an image processing method, which comprises the following steps: depth of view information of a first image collected by double cameras is calculated; a target main body of thefirst image is extracted according to the depth of view information; the target main body is subjected to scaling processing; and fusion processing is carried out on the zoomed target main body and an obtained background. The invention further discloses a mobile terminal and a computer readable storage medium, which solve the problem that in the prior art the operations are complex due the fact that a single lens reflex camera needs to be externally connected with a moving-axis lens for shooting and the effect class image of the shot zoomed main body can be obtained only through post-processing of a photo; the target main body is separated through the image shot by the double cameras; the target body is zoomed and then fused with the background, so that an effect class image of the zoomedmain body can be obtained; the operation is simple, the effect is more vivid and interesting, and the user experience is improved.

First image information whose depth of field includes a subject in a focus position set by a control section before photo shooting and second image information captured in a position focus different from that of the first image information are included. The focus position of the second image information is determined on the basis of the focus position of the first image information. The first image information is stored together with an image with an extended depth of field. This makes it possible to provide an imaging device which, when obtaining an extended depth of field from a plurality of images of different focus positions, can reduce failures in photo shooting due to a movement of a subject or camera shake.

The invention discloses a selfie stick shielding method and device of a selfie. The method comprises the following steps: firstly projecting a structured light source to a to-be-shielded selfie stick in a selfie frame, and taking a structured light image of the structured light source modulated by the selfie stick; and then demodulating a phase corresponding to a deformation location pixel in the structured light image, generating depth of field information of the selfie stick according to the phase, and generating a 3D model of the selfie stick according to the depth of field information; and finally, determining a selfie stick region in the selfie according to the 3D model of the selfie stick, and performing the shielding processing on the selfie stick region. By using the shielding method disclosed by the invention, the selfie stick region in the selfie can be precisely positioned, and then the selfie stick in the selfie can be shielded as far as possible to obtain the satisfying selfie of a user, and the user experience is improved.

The invention relates to a method for calculating the three-dimensional depth of field based on double imaging device. The method comprises the steps of acquiring a first image and a second image, which are respectively collected by a first imaging device and a second imaging device, of a target object; determining a first pixel point in the first image, and acquiring a first row sequence value and a first column sequence value of the first pixel point; acquiring a second pixel point set in the second image; determining a pixel point with the highest similarity reference value in the second pixel point set to serve as a target pixel point; calculating the pixel position difference between the first pixel point and the target pixel point; and calculating a three-dimensional depth of field value of a point corresponding to the first pixel point and the target pixel point in the target object according to the pixel position difference. The beneficial effects lie in that the three-dimensional depth of field value of a certain point in the target object can be quickly determined according to the method for calculating the three-dimensional depth of field based on the double imaging device.