Sentence examples for luminance of each pixel from inspiring English sources

Our technique computes HDR video zones which are constant throughout a sequence, based on the luminance of each pixel.

The luminance of each pixel in the image is modified in a consecutive order, giving an output luminance.

Notice that the grayscale image has few shadows, helping to maintain consistency in the luminance of each pixel, hence yielding accurate results.

The luminance of each pixel (or group of 4×4 pixels for MM and JAS) was randomly selected from a uniform distribution centred on 33.5 cd/m25 25 times per second.

Luminance of each pixel was defined by converting the sRGB values of the image (assuming IEC 61966 2 1 specification) to CIE L* a* b* space and retaining only luminance (L*) information.

where gout x, y) denotes the enhanced output luminance level of each pixel, ylcp (x, y) = T[Iin x, y)] Iin (x, y) ≥ 0 is the component of local contrast preservation, and I ¯ in ( x, y ) = I in ( x, y ) / I avg ( x, y ) for Iavg (x, y) ≠0 is a weighting coefficient which ranges from 0 to 256.

According to expression (4), the output local average luminance level of each pixel can be approximated by using the first-order Taylor series expansion such that (see Appendix) g avg ( x, y ) = T [ I in ( x, y ) ] + T ′ [ I in ( x, y ) ] × [ I avg ( x, y ) - I in ( x, y ) ], (5).

The classical PST adopts three lights (hence three observations of luminance at each pixel location) [15] to solve for the 3D normal vectors.

In the classical PST problem, the input is a set of n images captured from a fixed viewpoint under n different calibrated lighting conditions; hence, there are n observations of luminance at each pixel location.

The LUT ensured that the relation between the graylevel G of each pixel and the resulting luminance of that pixel was given by <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0005594.e001.PNG" class= inline-graphic"/> where C is the peak contrast of the image and L0 is the mean luminance.

The shadow detection computes a distance between the color of the pixel and each of the background model distribution, treating separately the luminance of the pixel and its chrominance.