Image formats and related methods and apparatuses
US-9202438-B2 · Dec 1, 2015 · US
US9959837B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9959837-B2 |
| Application number | US-201715610499-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 31, 2017 |
| Priority date | Dec 6, 2011 |
| Publication date | May 1, 2018 |
| Grant date | May 1, 2018 |
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A handheld imaging device has a data receiver that is configured to receive reference encoded image data. The data includes reference code values, which are encoded by an external coding system. The reference code values represent reference gray levels, which are being selected using a reference grayscale display function that is based on perceptual non-linearity of human vision adapted at different light levels to spatial frequencies. The imaging device also has a data converter that is configured to access a code mapping between the reference code values and device-specific code values of the imaging device. The device-specific code values are configured to produce gray levels that are specific to the imaging device. Based on the code mapping, the data converter is configured to transcode the reference encoded image data into device-specific image data, which is encoded with the device-specific code values.
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It is claimed: 1. A method performed on one or more processors comprising: receiving a perceptual curve digital code value D for an image; determining a normalized perceptual curve signal value V from a perceptual curve digital code value D determining a normalized color component value C based on a functional model of C = ( max [ ( V 1 m - c 1 ) , 0 ] c 2 - c 3 V 1 m ) 1 n ; determining an absolute value L from at least the normalized component value C, wherein parameters n, m, c 1 , c 2 , and c 3 are predetermined values; and rendering the image based on the determining of the absolute value L. 2. The method of claim 1 , wherein: n = 2610 4096 × 1 4 ≃ 0.1593017578125 ; m = 2523 4096 × 128 ≃ 78.84375 ; c 1 = c 3 - c 2 + 1 = 3424 4096 ≃ 0.8359375 ; c 2 = 2413 4096 × 32 ≃ 18.8515625 ; and c 3 = 2392 4096 × 32 ≃ 18.6875 . 3. The method of claim 1 , wherein the perceptual curve digital code value D is 10 bits. 4. The method of claim 1 , wherein the perceptual curve digital code value D is 12 bits. 5. The method of claim 1 , wherein a relationship between the normalized perceptual curve signal value V and the perceptual curve digital code value D is provided by the function: V = D - 4 · 2 b - 10 1015 · 2 b - 10 , wherein b is a bit depth corresponding to a number of bits used to represent the perceptual curve digital code value D. 6. The method of claim 1 wherein the perceptual curve digital code value D is received from a non-transitory storage media. 7. The method of claim 1 wherein the normaliz
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