Abstract:
A method including: providing an image; encrypting an encryption region of the image, the encryption region is less than the whole region of the image; keeping a remaining region of the image unencrypted to provide a partially encrypted image; and storing the partially encrypted image.
Abstract:
A system including circuitry configured to determine a reflectance feature of a liquid based on reflectance image data generated based on multispectral image data of the liquid; determine a structural feature of the liquid based on image data of the liquid; and to provide quality information of the liquid based on the reflectance feature and the structural feature.
Abstract:
The present disclosure relates to a method for improving an estimation process, comprising providing an image; detecting a failure area within said image to obtain a failure area map; obtaining a motion or disparity estimation map containing estimation vectors determined in an estimation process; providing a local direction model, LDM, map comprising LDM vectors determined on the basis of said estimated vectors and said detected failure area, and adjusting said estimation process dependent on the local direction model map.
Abstract:
A video coding apparatus for encoding a compressive sensing signal has a processor. The processor obtains a compressive sensing sampling matrix; and captures the compressive sensing signal representing image data based on the compressive sensing sampling matrix, wherein the compressive sensing sampling matrix is non-uniform varied.
Abstract:
A system including circuitry configured to process multispectral image data of a meal to obtain information on the contents of the meal; and generate, based on the obtained information, a query with guidance to change image capture settings.
Abstract:
Method for iteratively calibrating a disparity estimation process generating a disparity estimation map relating to a 3D image which consists of at least a right and a left image, the method comprising: estimating a left-to-right image disparity map of a 3D image in horizontal and vertical direction, estimating a right-to-left image disparity map of the 3D image in horizontal and vertical direction, determining a misalignment value between the left and right images on the basis of the disparity maps, feeding back the misalignment value as to be considered in the next estimating the disparity maps of a next 3D image, and repeating the method for the next 3D image to iteratively calibrate the disparity estimation process.