Dynamic digital image compression based on digital image characteristics

Patent metadata

Field	Value
Publication number	US-9536045-B1
Application number	US-201615072109-A
Country	US
Kind code	B1
Filing date	Mar 16, 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 to generate a first compressed digital image;
determine a difference between at least a portion the uncompressed digital image and a corresponding portion of the first compressed digital image to generate difference image data;
determine, based on the difference image data, a first amount of errors in the first compressed digital image;
compare the first amount of errors to an error threshold included in the compression rule;
in response to determining that the first amount of errors exceeds the error threshold, recompress, based on the compression rule, the uncompressed digital image to generate a second compressed digital image having a level of compression less than the first compressed digital image; and
determine a second amount of errors based on comparison of the second compressed digital image to the uncompressed digital image.

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 compression rule indicates a compression algorithm and a first quality factor, and the first compressed digital image is generated based on the compression algorithm and the first quality factor.

4. The method of claim 3 , wherein the compression rule indicates a second quality factor that is greater than the first quality factor, and the second compressed digital image is generated based on the compression algorithm and a second quality factor.

5. The method of claim 1 , wherein determining the first amount of errors comprises at least one of:
determining a number of pixels in the difference image data having a value indicative of an error, or
determining a degree of error in one or more pixels of the difference image data.

6. 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 pixels of the uncompressed digital image having an intensity value satisfying a threshold;
designate the one or more pixels as the portion of the uncompressed digital image;
for each pixel of the one or more pixels, determine a difference between the pixel of the uncompressed digital image and the corresponding pixel of the first compressed digital image to generate the difference image data; and
determine the first amount of errors by at least one of:
determining a number of pixels in the difference image data having a value indicative of an error, or
determining a degree of error in one or more pixels of the difference image data.

7. The method of claim 6 , wherein each of the one or more pixels comprises a group of pixels, and wherein each group of pixels comprises at least one of: a 4×4 group of pixels, or a 6×6 group of pixels.

8. 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;
designate the one or more regions as the portion of the uncompressed digital image;
for each pixel or group of pixels of the one or more regions, determine a difference between the pixel of the uncompressed digital image and the corresponding pixel of the first compressed digital image to generate the difference image data; and
determine the first amount of errors by at least one of:
determining a number of pixels in the difference image data having a value indicative of an error, or
determining a degree of error in one or more pixels of the difference image data.

9. The method of claim 1 further comprising:
causing execution of software instructions by one or more hardware computing devices in order to:
store the second compressed digital image in a data store.

10. The method of claim 1 further comprising:
causing execution of software instructions by one or more hardware computing devices in order to:
in response to determining that the second amount of errors exceeds the error threshold defined by the compression rule, recompress the uncompressed digital image using a lossless compression technique to generate a third compressed digital image; and
store the third compressed digital image in a data store.

11. A non-transitory computer-readable storage medium storing software instructions that, in response to execution by a computer system having one or more hardware processors, configure the computer system to perform operations comprising:
receiving an uncompressed digital image;
determining a characteristic associated with the uncompressed digital image;
accessing a compression rule associated with the characteristic;
compressing, based on the compression rule, the uncompressed digital image to generate a first compressed digital image;
determining a difference between at least a portion the uncompressed digital image and a corresponding portion of the first compressed digital image to generate difference image data;
determining, based on the difference image data, a first amount of errors in the first compressed digital image;
comparing the first amount of errors to an error threshold included in the compression rule;
in response to determining that the first amount of errors exceeds the error threshold, recompressing, based on the compression rule, the uncompressed digital image to generate a second compressed digital image having a level of compression less than the first compressed digital image; and
determining a second amount of errors based on comparison of the second compressed digital image to the uncompressed digital image.

12. The non-transitory computer-readable storage medium of claim 11 , wherein the compression rule indicates a compression algorithm and a first compression ratio, and the first compressed digital image is generated based on the compression algorithm and the first compression ratio.

13. The non-transitory computer-readable storage medium of claim 12 , wherein the compression rule indicates a second compression ratio that is greater than the first compression ratio, and the second compressed digital image is generated based on the compression algorithm and a second compression ratio.

14. The non-transitory computer-readable storage medium of claim 11 , wherein determining the first amount of errors comprises at least one of:
determining a number of pixels in the difference image data having a value indicative of an error, or
determining a degree of error in one or more pixels of the difference image data.

15. The non-transitory computer-readable storage medium of claim 11 , wherein the software instructions further configure the computer system to perform operations comprising:
identifying one or more pixels of the uncompressed digital image having an intensity value satisfying a threshold;
designating the one or more pixels as the portion of the uncompressed digital image;
for each pixel of the one or more pixels, determining a difference between the pixel of the uncompressed digital image and the corresponding pixel of the first compressed digital image to ge

Assignees

• D R Systems Inc

Inventors

• Fram Evan K

Classifications

• H04N19/895

  in combination with error concealment · CPC title

• H04N19/67

  involving unequal error protection [UEP], i.e. providing protection according to the importance of the data · CPC title

• G06F19/321 Primary

  Physics · mapped topic

• H04N19/122

  Selection of transform size, e.g. 8x8 or 2x4x8 DCT; Selection of sub-band transforms of varying structure or type · CPC title

• H04N19/157

  Assigned coding mode, i.e. the coding mode being predefined or preselected to be further used for selection of another element or parameter · CPC title