Image processing method and apparatus
AssigneeKabushiki Kaisha Toyota Chuo Kenkyusho
InventorsMineki Soga, Keiichi Yamada, Mitsuhiko Ohta
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AssigneeKabushiki Kaisha Toyota Chuo Kenkyusho
InventorsMineki Soga, Keiichi Yamada, Mitsuhiko Ohta
Estimating the term…
In an image conversion method and apparatus, luminance Y3 of each pixel of a converted image is obtained by use of an expression Y3=C1Y1+C2Y2 and from luminance Y1 of a corresponding pixel of a source image, luminance Y2 of a corresponding pixel of a low frequency image, and C1 and C2 which are functions of the luminance Y2. Since C1+C2 is constant when Y2≦T2, contrast of a low frequency component can be prevented from decreasing. In a portion in which the luminance Y2 of the low frequency image is low, the low frequency image is enhanced. In a portion in which the luminance Y2 of the low frequency image is high, the low frequency image is suppressed. In a method and apparatus for detecting noise level of an original signal in real time, a plurality of local regions are set on an input image in such a manner that the local regions are distributed uniformly over the entire area of an image. In each local region, determination as to whether or not luminance is saturated is performed. Variation in luminance is detected in each of a plurality of unsaturated local regions. Noise level is determined on the basis of the detected variation.
An image conversion method of processing a source image in which each pixel has a luminance value, in order to compress the dynamic range of the image in terms of brightness, the method comprising:
An image conversion apparatus for processing a source image in which each pixel has a luminance value in order to compress the dynamic range of the image in terms of brightness, the apparatus comprising:
Dependencies are inferred from the claim text.