Dynamic digital image compression based on digital image characteristics

Patent metadata

Field	Value
Publication number	US-9536324-B1
Application number	US-201615136555-A
Country	US
Kind code	B1
Filing date	Apr 22, 2016
Priority date	Mar 16, 2015
Publication date	Jan 3, 2017
Grant date	Jan 3, 2017

Abstract

Systems and techniques are disclosed for dynamically and automatically selecting an appropriate compression technique and/or compression parameters for digital images in order to reduce or prevent loss of significant information that may negatively impact the utility or usefulness of the digital images. For example, based on various image characteristics associated with a digital image, the system may dynamically compress the image using particular compression techniques and/or by adjusting compression parameters, to maintain significant information of the image. The system may select compression techniques and/or compression parameters based on one or more compression rules, which may be associated with image characteristics, patient characteristics, medical history, etc. Further, the system may, based on the one or more compression rules, compress the image to a maximum degree of compression while maintaining the significant information of the image.

First claim

What is claimed is:

1. A method of digital image compression, the method comprising:
causing execution of software instructions by one or more hardware computing devices in order to:
receive an uncompressed digital image;
determine a characteristic associated with the uncompressed digital image;
access a compression rule associated with the characteristic;
compress, based on the compression rule, the uncompressed digital image using each of a plurality of compression levels to generate a set of compressed digital images that are each compressed at different compression levels;
generate, based on the compression rule, a respective correction image for each of the compressed digital images of the set, wherein the correction images, when combined with their respective compressed digital images, removes errors from at least a portion of the respective compressed digital images; and
determine a combination of a first compressed digital image and an associated first correction image of the set that requires a minimum amount of storage space.

2. The method of claim 1 , wherein the characteristic associated with the uncompressed digital image includes at least one of: an imaging modality, an anatomical feature, or an acquisition type.

3. The method of claim 1 , wherein the plurality of compression levels each includes a compression algorithm and a set of respective quality factors, and the set of compressed digital images is generated based on the respective compression algorithms and quality factors.

4. The method of claim 1 further comprising:
causing execution of software instructions by one or more hardware computing devices in order to:
identify one or more regions of the uncompressed digital image having pixel intensity values satisfying a threshold; and
designate the one or more regions as the portion.

5. The method of claim 4 , wherein the one or more regions are identified based on one or more segmentation rules.

6. The method of claim 1 further comprising:
causing execution of software instructions by one or more hardware computing devices in order to:
losslessly compress the first associated correction image.

7. The method of claim 6 further comprising:
causing execution of software instructions by one or more hardware computing devices in order to:
store or transmit the combination of the first compressed digital image and the associated first correction image that is losslessly compressed.

8. The method of claim 1 further comprising:
causing execution of software instructions by one or more hardware computing devices in order to:
combine the first compressed digital image and the first associated correction image into a single compressed digital image.

9. The method of claim 1 , wherein the correction images, when combined with their respective compressed digital images, removes all errors from the respective compressed digital images and results in the uncompressed digital image.

10. A system comprising:
a non-transitory computer readable storage medium having software instructions embodied thereon; and
one or more processors configured to execute the software instructions to cause the one or more processors to:
receive an uncompressed digital image;
determine a characteristic associated with the uncompressed digital image;
access a compression rule associated with the characteristic;
compress, based on the compression rule, the uncompressed digital image using each of a plurality of compression levels to generate a set of compressed digital images that are each compressed at different compression levels;
generate, based on the compression rule, a respective correction image for each of the compressed digital images of the set, wherein the correction images, when combined with their respective compressed digital images, removes errors from at least a portion of the respective compressed digital images; and
determine a combination of a first compressed digital image and an associated first correction image of the set that requires a minimum amount of storage space.

11. The system of claim 10 , wherein the characteristic associated with the uncompressed digital image includes at least one of: an imaging modality, an anatomical feature, or an acquisition type.

12. The system of claim 10 , wherein the plurality of compression levels each includes a compression algorithm and a set of respective quality factors, and the set of compressed digital images is generated based on the respective compression algorithms and quality factors.

13. The system of claim 10 , wherein the one or more processors are configured to execute the software instructions to cause the one or more processors to further:
identify one or more regions of the uncompressed digital image having pixel intensity values satisfying a threshold; and
designate the one or more regions as the portion.

14. The system of claim 13 , wherein the one or more regions are identified based on one or more segmentation rules.

15. The system of claim 10 , wherein the one or more processors are configured to execute the software instructions to cause the one or more processors to further:
losslessly compress the first associated correction image.

16. The system of claim 10 , wherein the one or more processors are configured to execute the software instructions to cause the one or more processors to further:
store or transmit the combination of the first compressed digital image and the associated first correction image that is losslessly compressed.

17. The system of claim 10 , wherein the one or more processors are configured to execute the software instructions to cause the one or more processors to further:
combine the first compressed digital image and the first associated correction image into a single compressed digital image.

18. The system of claim 10 , wherein the correction images, when combined with their respective compressed digital images, removes all errors from the respective compressed digital images and results in the uncompressed digital image.

19. A non-transitory computer readable storage medium having software instructions embodied thereon, the software instructions executable by one or more processors to cause the one or more processors to:
receive an uncompressed digital image;
determine a characteristic associated with the uncompressed digital image;
access a compression rule associated with the characteristic;
compress, based on the compression rule, the uncompressed digital image using each of a plurality of compression levels to generate a set of compressed digital images that are each compressed at different compression levels;
generate, based on the compression rule, a respective correction image for each of the compressed digital images of the set, wherein the correction images, when combined with their respective compressed digital images, removes errors from at least a portion of the respective compressed digital images; and
determine a combination of a first compressed digital image and an associated first correction image of the set that requires a minimum amount of storage space.

20. The non-transitory computer readable storage medium of claim 19 , wherein the software instructions are executable by one or more processors to cause the one or more processors to further:
identify one or more regions of the uncompressed digital image having pixel intensity values satisfying a threshold; and
designate the one or more regions as the portion.

Assignees

• D R Systems Inc

Inventors

• Fram Evan K

Classifications

• H04N19/103

  Selection of coding mode or of prediction mode · CPC title

• G06T7/0012

  Biomedical image inspection · CPC title

• H04N19/154

  Measured or subjectively estimated visual quality after decoding, e.g. measurement of distortion (use of rate-distortion criteria H04N19/147) · CPC title

• G06T2207/10072

  Tomographic images · CPC title

• H04N19/176

  the region being a block, e.g. a macroblock · CPC title