Color conversion between color spaces using reduced dimension embeddings

Patent metadata

Field	Value
Publication number	US-11645787-B2
Application number	US-202217690404-A
Country	US
Kind code	B2
Filing date	Mar 9, 2022
Priority date	Aug 19, 2020
Publication date	May 9, 2023
Grant date	May 9, 2023

Abstract

Exemplary embodiments may provide an approach to converting multidimensional color data for an image encoded in a first color space into an intermediate form that is a single dimensional value. The exemplary embodiments may then decode the intermediate form value to produce an encoding of the color data that is encoded in a second color space that differs from the first color space. In this manner, the data for the image may be efficiently converted from an encoding in the first color space into an encoding in the second color space.

First claim

What is claimed is:

1. A method, comprising:
encoding, by an encoder of a neural network, each of a first plurality of pixels of an image into a respective single-dimensional color value, wherein the first plurality of pixels are based on a first color space; and
converting, by a decoder of the neural network, each respective single dimensional color value into a respective pixel of a second plurality of pixels in a second color space that is different than the first color space.

2. The method of claim 1 , wherein the encoder is one of a plurality of encoders, wherein the decoder is one of a plurality of decoders, the method further comprising:
selecting the encoder based on the first color space; and
selecting the decoder based on the second color space.

3. The method of claim 1 , further comprising:
performing an image processing operation on the single-dimensional color values.

4. The method of claim 1 , wherein the second plurality of pixels in the second color space are compressed relative to the first plurality of pixels in the first color space.

5. The method of claim 1 , wherein a plurality of embedding values include the single-dimensional color values.

6. The method of claim 1 , wherein the image is a three-dimensional image, wherein a plurality of voxels of the three-dimensional image include the first plurality of pixels, wherein the encoder encodes the plurality of voxels into the respective single-dimensional color values.

7. The method of claim 1 , wherein the first color space or the second color space is one of a RGB color space, an LAB color space, an HSV color space, a CMYK color space, a YUV color space, a HSL color space, an ICtCp color space or a CIE color space.

8. A non-transitory computer-readable storage medium, the computer-readable storage medium including instructions that when executed by a processor, cause the processor to:
encode, by an encoder of a neural network, each of a first plurality of pixels of an image into a respective single-dimensional color value, wherein the first plurality of pixels are based on a first color space; and
convert, by a decoder of the neural network, each respective single dimensional color value into a respective pixel of a second plurality of pixels in a second color space that is different than the first color space.

9. The computer-readable storage medium of claim 8 , wherein the encoder is one of a plurality of encoders, wherein the decoder is one of a plurality of decoders, wherein the instructions further cause the processor to:
select the encoder based on the first color space; and
select the decoder based on the second color space.

10. The computer-readable storage medium of claim 8 , comprising instructions that cause the processor to:
perform an image processing operation on the single-dimensional color values.

11. The computer-readable storage medium of claim 8 , wherein the second plurality of pixels in the second color space are compressed relative to the first plurality of pixels in the first color space.

12. The computer-readable storage medium of claim 8 , wherein a plurality of embedding values include the single-dimensional color values.

13. The computer-readable storage medium of claim 8 , wherein the image is a three-dimensional image, wherein a plurality of voxels of the three-dimensional image include the first plurality of pixels, wherein the encoder encodes the plurality of voxels into the respective single-dimensional color values.

14. The computer-readable storage medium of claim 8 , wherein the first color space or the second color space is one of a RGB color space, an LAB color space, an HSV color space, a CMYK color space, a YUV color space, a HSL color space, an ICtCp color space or a CIE color space.

15. A computing apparatus comprising:
a processor; and
a memory storing instructions that, when executed by the processor, cause the processor to:
encode, by an encoder of a neural network, each of a first plurality of pixels of an image into a respective single-dimensional color value, wherein the first plurality of pixels are based on a first color space; and
convert, by a decoder of the neural network, each respective single dimensional color value into a respective pixel of a second plurality of pixels in a second color space that is different than the first color space.

16. The computing apparatus of claim 15 , wherein the encoder is one of a plurality of encoders, wherein the decoder is one of a plurality of decoders, wherein the instructions further cause the processor to:
select the encoder based on the first color space; and
select the decoder based on the second color space.

17. The computing apparatus of claim 15 , the memory storing instructions that cause the processor to:
perform an image processing operation on the single-dimensional color values.

18. The computing apparatus of claim 15 , wherein the second plurality of pixels in the second color space are compressed relative to the first plurality of pixels in the first color space.

19. The computing apparatus of claim 15 , wherein a plurality of embedding values include the single-dimensional color values.

20. The computing apparatus of claim 15 , wherein the image is a three-dimensional image, wherein a plurality of voxels of the three-dimensional image include the first plurality of pixels, wherein the encoder encodes the plurality of voxels into the respective single-dimensional color values.

Assignees

• Capital One Services Llc

Inventors

• Walters Austin Grant
• Goodsitt Jeremy Edward
• Pham Vincent

Classifications

• G06N3/0464

  Convolutional networks [CNN, ConvNet] · CPC title

• G06N3/0495

  Quantised networks; Sparse networks; Compressed networks · CPC title

• G06N3/09

  Supervised learning · CPC title

• G06N3/0455

  Auto-encoder networks; Encoder-decoder networks · CPC title

• G06V10/20

  Image preprocessing · CPC title