Unprocessed image coding and decoding

Patent metadata

Field	Value
Publication number	US-12101492-B2
Application number	US-202117355842-A
Country	US
Kind code	B2
Filing date	Jun 23, 2021
Priority date	Jun 23, 2021
Publication date	Sep 24, 2024
Grant date	Sep 24, 2024

Abstract

A method of image compression, including, receiving at least one unprocessed image frame, transforming a domain of the at least one unprocessed image frame to output a transformed domain dataset, block processing the transformed domain dataset to yield a blocked dataset, quantizing the blocked dataset to produce a quantized dataset and entropy encoding the quantized dataset to construct at least one compressed image frame.

First claim

What is claimed is:

1. A method of image compression, comprising:
receiving at least one unprocessed image frame, wherein the unprocessed image frame is at least one of unprocessed and minimally processed;
transforming a domain of the at least one unprocessed image frame to output a transformed domain dataset wherein the unprocessed image frame is sampled in a Bayer color filter array format and the transformed domain dataset is in a domain having a luminance channel, a blue-green difference channel, a red-green difference channel, and a first green to second green difference channel:
block processing the transformed domain dataset to yield a blocked dataset, wherein the block processing utilizes at least one of discrete cosine transform and wavelet transform;
quantizing the blocked dataset to produce a quantized dataset; and
entropy encoding the quantized dataset to construct at least one compressed image frame.

2. The method of image compression of claim 1 , wherein the block processing divides the transformed domain dataset into a set of regular blocks.

3. The method of image compression of claim 1 , further comprising reorganizing a set of transform coefficients of the block processing.

4. The method of image compression of claim 1 , further comprising retransforming a set of transform coefficients of the block processing.

5. The method of image compression of claim 1 , wherein a quantization factor applied for quantization is based on a set of coefficient frequencies.

6. The method of image compression of claim 1 , wherein a quantization factor applied for quantization is based on a coefficient criticality.

7. The method of image compression of claim 1 , wherein the entropy encoding is processed by at least one of Huffman coding and Arithmetic coding.

8. The method of image compression of claim 1 , wherein the transforming of the at least one unprocessed image frame is a lossless transformation.

9. The method of image compression of claim 1 , wherein the at least one unprocessed image frame is a video frame.

10. A method of image decompression, comprising:
receiving at least one compressed image frame;
entropy decoding the at least one compressed image frame to construct an entropy decoded dataset;
de-quantizing the entropy decoded dataset to produce a de-quantized dataset;
inverse block processing the de-quantized dataset to yield produce an inverse blocked dataset, wherein the inverse block processing utilizes at least one of inverse discrete cosine transform and inverse wavelet transform; and
inverse transforming the inverse blocked dataset to output at least one unprocessed image frame, wherein the uncompressed image frame is in a Bayer color filter array format and the inverse blocked dataset is in a domain having a luminance channel, a blue-green difference channel, a red-green difference channel, and a first green to second green difference channel.

11. The method of image decompression of claim 10 , wherein the entropy decoding is processed by at least one of Huffman decoding and Arithmetic decoding.

12. The method of image decompression of claim 10 , wherein a de-quantization factor applied to de-quantization based on a coefficient criticality.

13. The method of image decompression of claim 10 , wherein a de-quantization factor applied to de-quantization based on a set of coefficient frequencies.

14. The method of image decompression of claim 10 , further comprising retransforming a set of inverse transform coefficients of the inverse block processing.

15. The method of image decompression of claim 10 , further comprising reorganizing a set of inverse transform coefficients of the inverse block processing.

16. The method of image decompression of claim 10 , wherein the inverse transformation includes at least three color channels.

17. The method of image decompression of claim 10 , wherein the inverse transforming of the at least one compressed image frame is a lossless inverse transformation.

18. The method of image decompression of claim 10 , wherein the at least one compressed image frame is a video frame.

Assignees

• Black Sesame International Holding Ltd
• Black Sesame Technologies Inc

Inventors

• Chen Bin
• Wu Donghui

Classifications

• H04N19/625

  using discrete cosine transform [DCT] · CPC title

• H04N19/119

  Adaptive subdivision aspects, e.g. subdivision of a picture into rectangular or non-rectangular coding blocks · CPC title

• H04N19/91 Primary

  Entropy coding, e.g. variable length coding [VLC] or arithmetic coding · CPC title

• H04N19/64

  characterised by ordering of coefficients or of bits for transmission · CPC title

• H04N19/18

  the unit being a set of transform coefficients · CPC title