Abstract: A dynamic range control is of particular interest for scenes with a high contrast between dark and bright parts. Both parts may contain detailed information, although in most cases the dark part is given priority during signal reconstruction processing. In such a case the dark parts of a scene are amplified to a level that offers sufficient visible details, whereas in most prior art cases the bright parts may exceed the maximum permissible signal amplitude and will then be clipped. Such a measure will, in most cases, cause the loss of all details above and beyond the maximum permissible signal amplitude level. It is proposed that in particular the bright parts of a scene are compressed by means of a non-linear transfer function such that the specific demands of an input signal are taken into account.

Abstract: A reconstruction method based on a white-compensated luminance-reconstruction and using filter weights referred to as smartgreen-parameters is proposed. An aliasing free luminance signal, even at the multiples of the sample frequency and in case of a camera without optical low pass filter is achieved. Moreover this white-compensated-luminance-signal is free of signal distortion. The proposed method allows a suitable low pass filter to be added or combined and is particular well suited to implement a variety of aliasing free color- and contour-filters. The RGB color signals are reconstructed using filter weights that can be chosen as a function of the heaviness of the sensor matrix and of the optical transfer of the camera The reconstructed RGB signals may still further be improved with regard to colored aliasing according to the Nyquist-theorem. A false-color-filter is implemented in a color-reconstruc and applied to eliminate false colors and in order to reduce the amount of color aliasing.

Abstract: A reconstruction method based on a white-compensated luminance reconstruction and using filter weights referred to as smartgreen-parameters is proposed. An aliasing free luminance signal, even at the multiples of the sample frequency and in case of a camera without optical low pass filter is achieved. Moreover this white-compensated luminance-signal is free of signal distortion. The proposed method allows a suitable low pass filter to be added or combined and a is particular well suited to implement a variety of abasing free color- and contour-filters. The RGB color signals are reconstructed using filter weights which can be chosen as a function of the heaviness of the sensor matrix and of the optical transfer of the camera.