Abstract: The disclosed embodiments illustrate methods and systems for encoding an image. The method includes identifying one or more objects, having an associated first tag value, in the image. The first tag value is deterministic of at least a type of the one or more objects. The number of the one or more objects in the image is less than a predetermined number of objects. The method further includes assigning a second tag value to each pixel in the image to create an encoded image. The second tag value is assigned based on the type of object represented by each pixel. The size of the second tag value is less than the size of the first tag value. The method further includes defining a header field for the encoded image. The header field includes the first tag value associated with each of the one or more objects.

Abstract: A solar thermal power system includes a solar receiver for heating thermal energy storage fluid and be stored and utilised from a thermal energy storage arrangement having hot and cold storage tanks. The system includes a steam generator arrangement, which utilises the heat of the thermal energy storage fluid to produces steam to run a turbine. The arrangement includes a bypass line configured to bypass the hot storage tank from the steam generator arrangement, and to supply the hot thermal energy storage fluid from the solar receiver directly to the steam generator arrangement, during day times, when the solar receiver the steam generator arrangement are both in operating mode, thereby recovering stored potential energy available in the down corner hot thermal energy storage fluid from the solar receiver.

Abstract: This disclosure relates to a method and apparatus for implementing a trapping operation on a digital image during image processing and prorating the size of trap color filter with respect to local irregularity in shape of any target object. Some examples of the present disclosure calculate a plurality of prorated trapping parameters to be applied to portions of an object in a printing process, the calculation being based on repeated generation and application of a 2D Gaussian mask to a binarized object to identify disappeared portions of the object. The calculated plurality of prorated trapping parameters may be applied to the object during the printing process.

Abstract: Disclosed is a method and video surveillance system for detecting fraud. The system may receive images. The system may convert the images into binary images. Subsequently, the system may identify a reference frame amongst the binary images. The system may trigger face detection upon detecting motion within the binary images. The system may detect the motion based on a relative white pixel count of the binary image with respect to a reference image. The system may reduce a Region of Interest (RoI) window within the binary images based on a highest density of white pixel count. The system may determine whether a face is detected within the reduced RoI window. The system may determine whether mouth is detected within a lower half of the face when the face is detected. The system may detect the fraud when the face is not detected or the mouth is not detected.

Abstract: A method for varying a thickness of a trap around an object in an image. The method may include selecting a first window along a border of the object. The first window includes one or more first pixels representing the object and one or more second pixels representing a background or another object. A first edge orientation direction is determined based at least partially upon a location of the one or more first pixels in the first window. A first thickness of the object is measured along the first edge orientation direction. A trap is created around the object. A first thickness of the trap proximate to the first window is varied based at least partially upon the first thickness of the object.

Abstract: The present disclosure relates to a computer-implemented method, device, and computer-readable storage medium used for trapping an object against a gradient background comprising: obtaining a trapping parameter for the object in both a fast scan and slow scan direction; forming a first, a second, and a third color trap for the object; comparing the first color trap for the object with the second color trap for the object; comparing the first color trap for the object with the third color trap for the object; determining that a result of the comparing the first color trap for the object with the second color trap for the object yields a larger result than a result of the comparing the first color trap for the object with the third color trap for the object; and applying trapping to the inner side of the object.

Abstract: This disclosure relates to a method and apparatus for implementing a trapping operation on a digital image during image processing and prorating the size of trap color filter with respect to local irregularity in shape of any target object. Some examples of the present disclosure calculate a plurality of prorated trapping parameters to be applied to portions of an object in a printing process, the calculation being based on repeated generation and application of a 2D Gaussian mask to a binarized object to identify disappeared portions of the object. The calculated plurality of prorated trapping parameters may be applied to the object during the printing process.

Abstract: The present disclosure relates to a computer-implemented method, device, and computer-readable storage medium used to determine the prorating of trap color radius with respect to an object (text or graphics) size. The prorating of trap color radius allows for the problem of overpowering the trapping filter over the object size.

Abstract: A method on a computing device for categorizing one or more blocks of an image is disclosed. The method includes computing a membership value of each of the one or more blocks for each of one or more categories based on a set of parameters associated with each of the one or more blocks. The one or more categories comprise at least an image category. Each of the one or more blocks is categorized in the one or more categories based on the membership value. A category of at least one block is modified to the image category based on a reference signal and the membership value such that the number of blocks categorized under the image category increases.

Abstract: A solar receiver, designed to use a heat transfer medium, includes a plurality of panels. Each panel is arranged and configured to enable the heat transfer medium to flow in at least one flow direction, one flow direction defining a pass, to obtain unique mass flux in each pass to optimize the heat flux capability of the pass while minimizing pressure drop across the selected passes of the heat transfer surface. A method thereof is also provided.

Abstract: A method on a computing device for categorizing one or more blocks of an image is disclosed. The method includes computing a membership value of each of the one or more blocks for each of one or more categories based on a set of parameters associated with each of the one or more blocks. The one or more categories comprise at least an image category. Each of the one or more blocks is categorized in the one or more categories based on the membership value. A category of at least one block is modified to the image category based on a reference signal and the membership value such that the number of blocks categorized under the image category increases.