34 results about "Camera response function" patented technology

The invention discloses a method for modeling a background based on a camera response function in an automatic gain scene, which comprises the following steps of: performing automatic gain progressiveness-based analysis to obtain a roughly divided background area, obtaining low-noise training data by using a joint histogram method, and performing recovery once to obtain a globally optimal camera response function by the method based on maximum likelihood estimation and parameter constraints; online calculating a gain ratio frame by frame by utilizing correlation between a foreground and background difference and the gain ratio and the homography of a grayscale difference function relative to the gain ratio; and if the gain ratio is not 1, performing updating to obtain a background reference frame the same as a current reference frame by using the camera response function and the gain ratio, otherwise determining the background reference frame is unchanged, and obtaining the backgroundreference frame with a gain coefficient the same as that of the current frame along with the change of the gain coefficient of a camera. By the method, the shortcomings of high background change speed, caused by difficulties in realizing automatic gain along with the camera, of the conventional methods are overcome, thereby ensuring high-efficiency motion detection.

The invention discloses a multi-spectral image super-resolution reconstruction method based on color image fusion. Firstly, the high-resolution color image and low-resolution multi-spectral image areacquired and registered, then the inverse camera response function and spectral sensitivity function coupled in the color image are acquired, and the observation model based on the content of the acquired image is constructed. High-resolution multispectral images are solved by this model, Firstly, the boundary structure information is extracted from the captured RGB image, In order to guide the reconstruction of high-resolution multispectral images, the basis of the solution space is trained from the acquired multispectral images, and an iterative algorithm framework based on image fusion is constructed to solve the coefficients of the multispectral images on the spatial basis. Finally, the coefficients are combined with the spatial basis to obtain the high-resolution multispectral images.The invention reduces the error of the traditional multi-spectral image super-resolution method due to the information loss and improves the reconstruction precision of the multi-spectral image by utilizing the boundary guidance and the content fusion of the RGB image.

A method for generating a high dynamic range image (HDRI) includes acquiring a first illuminance diagram, generating a second illuminance diagram from the first illuminance diagram by modifying a dynamic range of at least a portion of the first illuminance diagram, and generating the HDRI based on the second illumination diagram. The first illuminance diagram is obtained based on a camera response function and an illuminance logarithm obtained based on a plurality of images having different exposure conditions.

The invention discloses an optimal exposure-based minimum bracketing exposure set acquisition method, which is used to solve the technical problem of poor imaging quality of high dynamic range images synthesized by the existing minimum bracketing exposure acquisition method. The technical solution is to use the Debevec&Malik camera response function acquisition method to sequentially obtain the irradiance range under different exposures, establish the corresponding relationship between the optimal exposure of the target scene and the corresponding exposure in the exposure that the camera can capture, and traverse the standard exposure sequence of the camera to obtain the standard exposure of the camera The minimum bracketing exposure image set corresponding to the target scene in the sequence is calculated based on the minimum bracketing exposure image set based on the optimal exposure of the target scene according to the optimal exposure time of the target scene according to the difference in exposure steps; the obtained exposure set includes the target scene The optimal exposure with the most useful information not only ensures the image quality but also effectively reduces the redundant information in the exposure set and the total time-consuming of capturing the image set.