Spatially averaged radiant exposure is the received radiant energy divided by the specified receiving area. For a patch and local radiant exposure ,Both local and averaged values have units , but the average need not equal the local maximum. The radiant exposure definition uses incident energy and the receiving surface's area.[ref]
For an original unequal-area example, let one region receive a uniform , and a neighbouring region receive . They receive and respectively. The average over the combined patch is thereforeThe unweighted average of the two listed exposure values would be , which is wrong for these unequal areas. The area weighting of radiant exposure gives the larger region three times the influence. The actual peak remains in the stipulated piecewise-uniform model.
A receiver integrating all incident energy over the complete patch can determine ; division by its known collecting area then gives the average. That measurement alone cannot identify the peak or reconstruct the spatial distribution. Subdivision with a characterized spatial response supplies additional information. For a finite aperture intercepting a Gaussian beam, use energy actually entering the aperture, as calculated in radiant exposure of a Gaussian beam, rather than the total energy of the untruncated beam.
Area weighting of radiant exposure combines patch-average exposures in proportion to the receiving areas they represent. For disjoint patches with areas and mean radiant exposures , the coefficients satisfy , and the combined spatially averaged radiant exposure is . This follows by adding the received energies , rather than averaging a list of values without its geometry.[ref]
An original coordinate example explains a calibration issue in image-based measurements. Let a rectangular receiving strip have length and constant width. Stipulate for . Suppose a calibrated image coordinate maps to physical position . Uniform sampling in is therefore nonuniform in physical area.
The physical area average isAn unweighted average over increasingly dense, uniformly spaced samples would instead converge to . The factor is the change of variables formula's area correction for the chosen mapping; the constant strip width and cancel in the normalized average.
Thus a Jacobian area correction for radiant-exposure maps can matter even if every local exposure value is correct. An optical camera measurement needs its spatial calibration and the receiving-surface map, not just pixel values. Overlapping patches must not be counted as disjoint areas, and local point samples need an explicit quadrature model before they can stand for patch averages.
A Jacobian area correction for radiant-exposure maps converts a coordinate-space integral into one over the physical receiving surface. For a one-to-one planar calibration map ,The Jacobian determinant supplies physical area per coordinate-area increment. This change of variables formula preserves the radiant exposure definition as incident energy per receiving area.[ref]
International Lighting Vocabulary by CIE. Entry17-21-071
For an original two-dimensional example, let and map , , with and . Then . Stipulate with . The physical receiving area is , andIts spatially averaged radiant exposure is . Uniformly averaging the exposure values over without the determinant gives only .
The correction applies to exposure densities represented in distorted coordinates. If each detector sample already reports energy integrated over its physical patch, summing those calibrated energies requires no second multiplication by patch area. Otherwise the area is counted twice. An optical camera reduction must specify whether its values represent energy, irradiance, exposure or a further processed signal.
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