Saturation Sample Clauses
The Saturation clause defines the maximum limit or capacity for a particular obligation, liability, or resource within an agreement. In practice, this clause might set a cap on the amount of damages a party can claim, the volume of goods to be delivered, or the extent of insurance coverage provided. By establishing clear upper boundaries, the Saturation clause helps prevent overextension of responsibilities and provides certainty to both parties regarding their maximum exposure or commitment under the contract.
Saturation. For the purposes of this Specification, saturation is defined as the point on the single carrier power-out versus power-in transfer curve corresponding to the operating point that provides the specified EIRP output power and simultaneously meets the required linearity. All values listed in Section 3.1 are at full transponder saturation.
Saturation. The iScan VP20 allows you to control the saturation of the image independent of the display. Saturation is the same as the “Color” control on most TVs and controls the richness of the color in the image. The default setting is 0 (midrange). As with Saturation, hue can also be controlled independent of the display. Hue is the same as the “Tint” control found on most TVs and controls how colors are displayed in the image. The Hue control is not available for Component or PAL/SECAM inputs. The default setting is 0 (midrange).
Saturation. Sat01: I as Product Manager at Barco want to acquire bright saturated colors in a dark environment (neon) in order to evaluate the dependence of saturation and brightness towards surrounding. Sat02: I as Color Scientist at ARRI want to acquire saturated colors in order to verify our advanced camera characterization. Sat03: I as engineer at Filmlight want to record iconic* saturated colors in order to validate gamut mapping algorithms. *Well known brand signs. Sat04: I as Research Engineer at Barco want to acquire saturated bright colors (like neon lights) in order to show the color capabilities of a laser based projector compared to a standard lamp based projector Sat06: I as Color Scientist at ARRI want to acquire a scene with indirect high saturated lighting in order to evaluate the camera characterization on objects like skintones lit by colored light. Sat07: I as project coordinator at Filmlight want to capture narrowband illumination in order to test the validity of our color appearance model.
Saturation. If Unit(N) get to a saturation situation, the unit will change to state Supending and end in state SUSPENDED. Unit(N) can continue to produce until internal product buffers are full1, then Unit(N) set the digital output Infeed Ready = 0. When unit(N+1) have produced products and removed the queue from unit(N), then unit(N) will enter the EXECUTE state and set the digital output Infeed Ready = 1.
Saturation. The natural reflectance of many materials on the ground can sometimes cause problems with digital ortho imagery. These include washed out areas, little or no detail in the affected area, and radiometric/mosaicking problems as shown in Figures 2-4 and 2-5. Determining an ortho project's desired overall brightness level depends on user preference. New imagery will be created with the highest quality image processing software. The client will be given the opportunity to review the overall appearance of the ortho imagery before the imagery goes into full production. When imagery is processed from the raw format to the working format, the processing software uses parameters that control brightness and contrast. However, the settings must be fine-tuned for optimum results. As more detail is captured at the ends of the spectrum (very bright or dark areas), less detail is captured in the middle of the spectrum. Furthermore, it can be extremely difficult and sometimes impossible to extract image detail at all ends of the spectrum when converting from 16-bit imagery during initial image processing. The ability to interpret features differs from the ability to see the features plainly. It is still possible to interpret features that may be somewhat obscured or even blown out. Typical features that have potential to be saturated are rooftops, sun glint, and white features. Features that should be interpretable are air conditioning units, swamp coolers and any other feature where the square footage is four times the pixel resolution. For example, if the pixel resolution is 0.5 feet and the swamp cooler on the rooftop has an area of two square feet then the swamp cooler should be identifiable. However, blown out rooftops are subjective issues because they are not ground features and do not affect interpretability or accuracy of ground features. ◆ Ground features are four times the pixel size in length and aren't interpretable in bright areas. ◆ The imagery's overall brightness does not meet specifications set before production.