Granted Patent B2

US 12,301,806 · App. 18/378,042 · Granted May 13, 2025

Inventors: James H. Jannard (Las Vegas, NV); Peter Jarred Land (Los Angeles, CA); Manjunath Subray Bhat (Thousand Oaks, CA)

Assignee: Red Digital Cinema, Inc.

H04N19/122H04N19/124H04N19/13H04N19/18H04N19/91H04N19/93

Abstract

Claims (47)

1. An electronic device comprising:

a housing;

an image sensor configured to generate image data from light incident on the image sensor;

a memory device; and

one or more processors configured to:

transform the image data to obtain transform coefficients,

quantize the transform coefficients to obtain quantized transform coefficients including a first quantized transform coefficient and a second quantized transform coefficient different from the first quantized transform coefficient,

encode the quantized transform coefficients to obtain encoded coefficients, the quantized transform coefficients being encoded at least by:

determining a first range of a plurality of ranges in which the first quantized transform coefficient is included,

determining a second range of the plurality of ranges in which the second quantized transform coefficient is included,

determining a first value within the first range to which the first quantized transform coefficient corresponds,

determining a second value within the second range to which the second quantized transform coefficient corresponds,

encoding, using a first algorithm, the first range as a first range code and the second range as a second range code, and

encoding, using a second algorithm different from the first algorithm, the first value as a first value code and the second value as a second value code, and

store the encoded coefficients to the memory device, the encoded coefficients comprising the first range code, the second range code, the first value code, and the second value code.

2. The electronic device of claim 1 , wherein the first algorithm is a Huffman code, and the second algorithm is a Golomb code.

3. The electronic device of claim 1 , wherein the one or more processors is configured to vary the first algorithm during processing of the image data.

4. The electronic device of claim 3 , wherein the one or more processors is configured to vary the first algorithm from processing a first frame of the image data to processing a second frame of the image data.

5. The electronic device of claim 3 , wherein the second algorithm remains constant during processing of the image data by the one or more processors.

6. The electronic device of claim 1 , wherein the quantized transform coefficients include a third quantized transform coefficient different from the first quantized transform coefficient and the second quantized transform coefficient, and the one or more processors is configured to encode the quantized transform coefficients by at least:

determining a third range of a plurality of ranges in which the third quantized transform coefficient is included,

not determining a third value within the third range to which the third quantized transform coefficient corresponds, and

encoding, using the first algorithm, the third range as a third range code, the encoded coefficients comprising the third range code.

7. The electronic device of claim 1 , wherein the one or more processors is configured to transform the image data using a discrete cosine transform.

8. The electronic device of claim 7 , wherein the discrete cosine transform is a 16×16 discrete cosine transform.

9. The electronic device of claim 1 , wherein the one or more processors is configured to encode the quantized transform coefficients at least by encoding DC coefficients of the quantized transform coefficients differently from AC coefficients of the quantized transform coefficients.

10. The electronic device of claim 1 , wherein the one or more processors is configured to store a parameter for the first algorithm in a frame header for the encoded coefficients.

11. The electronic device of claim 1 , wherein the one or more processors is configured to quantize the transform coefficients by at least using a first quantization table for green pixels of the image data and a second quantization table for red pixels and blue pixels of the image data, the first quantization table being different from the second quantization table.

12. The electronic device of claim 1 , wherein the image data is raw moasiced image data.

13. The electronic device of claim 1 , wherein the housing is configured to enclose the image sensor, the memory device, and the one or more processors, and the housing is configured to removably attach to a mobile phone.

14. The electronic device of claim 1 , further comprising a display configured to present holographic images generated by the one or more processors from the image data.

15. A method of coding image data using an electronic device, the method comprising:

generating, by an image sensor, image data from light incident on an image sensor;

transforming, by one or more processors, the image data to obtain transform coefficients;

quantizing, by the one or more processors, the transform coefficients to obtain quantized transform coefficients including a first quantized transform coefficient and a second quantized transform coefficient different from the first quantized transform coefficient;

determining, by the one or more processors, a first range of a plurality of ranges that includes the first quantized transform coefficient and a second range of the plurality of ranges that includes the second quantized transform coefficient;

determining, by the one or more processors, a first value within the first range that corresponds to the first quantized transform coefficient and a second value within the second range that corresponds to the second quantized transform coefficient;

encoding, by the one or more processors, the first range as a first range code and the second range as a second range code;

encoding, by the one or more processors, the first value as a first value code and the second value as a second value code; and

storing the first range code, the second range code, the first value code, and the second value code to the memory device.

16. The method of claim 15 , wherein said encoding the first and second ranges and said encoding the first and second values are performed using lossless compression.

17. The method of claim 15 , wherein said encoding the first and second ranges and said encoding the first and second values are performed using variable length coding.

18. The method of claim 15 , further comprising:

retrieving the first range code, the second range code, the first value code, and the second value code from the memory device; and

decoding, by the one or more processors, the first range code, the second range code, the first value code, and the second value code to obtain the first range, the second range, the first value, and the second value.

19. The method of claim 18 , further comprising using the decoded first range, second range, first value, and second value to generate holographic content for display on a display of the electronic device.

20. The method of claim 15 , wherein the first range and the second range are encoded as the first range code and the second range code using a Huffman code, and the first value and the second value are encoded as the first value code and the second value code using a Golomb code.

Assignments (3)

Continuity (7)

References Cited (400)