Sentence examples for human visual luminance from inspiring English sources

Knowledge about human visual luminance distortion was provided by this model.

The brightness of each step was adjusted to fit the function of the so-called L∗, which represents the response of the human visual system to luminance.

Figure 3 Shape of human visual MTF for luminance.

Figure 3 shows the shape of human visual MTF for luminance.

In human visual MTF for luminance, contrast sensitivity is high for medium spatial frequency and is suddenly low for high spatial frequency.

Image and video based steganography rely on the limited human visual system to notice luminance variation at levels greater than 1 in 240 across uniform grey levels, or 1 in 30 across random patterns[2].

The former is based on logarithmic compression of luminance values imitating the human visual system response to light.

Land and McCann first proposed Retinex algorithm, which is a model of color and luminance perception of human visual system (HVS).

Herein, the model designed for gray image is also applied to chrominance components since the human visual perception is more sensitive to luminance component than to chrominance compo-nents.

That is, the amount of filtering is adjusted to the perceptual distortion by integrating a human visual system model into filtering based on luminance, activity and temporal masking.

In particular, since the human visual system is non-linearly sensitive to luminance, it makes sense to transform RGB coordinates into a space in which coordinates are proportional to subjective brightness, then to re-quantize them to fewer bits in that space.