Image processing system and method
View Patent ↗A system and method for processing an image is provided. The system includes an encoder configured to subdivide the image into N subregions. The value of N is computed based upon a spatial resolution of the image, a granularity value and a level of wavelet decomposition. The encoder is configured to perform wavelet decomposition on each of the N subregions. The system includes memory circuitry configured to store image data resulting from the decomposition for later transmission.
1. A method for processing an image comprising:
optimizing a number N of spatially relevant subregions of the image based upon: a spatial resolution of the image, a lowest granularity supported for a decoder, and a level of wavelet decomposition;
subdividing the image into N subregions based on the optimizing of the number N, the N subregions having equal pixel dimensions;
performing wavelet decomposition of each of the N subregions; and
storing image data resulting from the decomposition.
2. The method of claim 1 , wherein the optimal number N is computed based upon the relationship:
N
=
W
2
L
·
H
2
L
·
1
G
x
·
G
y
where W and H are dimensions of the image, L is a level of wavelet decomposition, and G x ·G y define a granularity supported by a decoder.
3. The method of claim 1 , comprising determining the level of wavelet decomposition.
4. The method of claim 1 , comprising:
receiving a request for the image, the request including a selection of a region of interest that is less than the entire image; and
determining the N subregions corresponding to the selected region of interest.
5. The method of claim 4 , further comprising transmitting image data for the subregions of the selected region of interest with more high frequency data than other subregions.
6. The method of claim 4 , further comprising transmitting only image data for the subregions of the selected region of interest.
7. The method of claim 1 , wherein the image data is derived from video data.
8. The method of claim 7 , comprising performing subdividing the image into the N subregions, performing the wavelet decomposition of each of the N subregions, and storing the image data resulting from the decomposition for later transmission for a plurality of two-dimensional images obtained from the video data.
9. A system for processing an image, comprising:
an encoder configured to subdivide the image into N subregions of equal pixel dimensions, wherein a value of N is optimized based upon: a spatial resolution of the image, a lowest granularity value supported for a decoder, and a level of wavelet decomposition, and wherein the encoder is configured to perform wavelet decomposition on each of the N subregions;
memory circuitry, in communication with the encoder, configured to store image data resulting from the decomposition.
10. The system of claim 9 , further comprising one or more decoders configured to send a request for the image, the request including a selection of a region of interest that is less than the entire image.
11. The system of claim 10 , wherein the selection of the region of interest is performed by a user interacting with the one or more decoders.
12. The system of claim 10 , wherein the selection of the region of interest is performed automatically.
13. The system of claim 10 , comprising a server configured to:
receive the request for the image, the request including the selection of the region of interest that is less than the entire image;
determine which of the N subregions corresponds to the selected region of interest; and
transmit image data for the N subregions of the selected region of interest with more high frequency data.
14. A non-transitory computer readable medium having stored therein instructions executable by a computing device that, if executed by the computing device, cause the computing device to perform operations comprising:
optimizing a number N of spatially relevant subregions of an image based upon: a spatial resolution of the image, a lowest granularity supported for a decoder, and a level of wavelet decomposition;
receiving data encoding N spatially relevant subregions of the image based on the optimizing of N; and
encoding wavelet decomposition data for each of the N subregions that is independently accessible at a desired wavelet decomposition level, the N subregions having equal pixel dimensions.
15. The non-transitory computer readable medium of claim 14 , wherein the N is computed based upon the relationship:
N
=
W
2
L
·
H
2
L
·
1
G
x
·
G
y
where W and H are dimensions of the image, L is a level of wavelet decomposition, and G x ·G y define a granularity supported by a decoder.
16. The method of claim 1 , wherein the image is a video image and the method further comprises temporally decorrelating the video image into two-dimensional images;
wherein the subdividing of the image subdivides each of the two-dimensional images into N subregions based on the optimizing of N; and
wherein the wavelet decomposition is performed of each of the N subregions of each of the two-dimensional images.
17. The system of claim 9 , further comprising a processor configured to temporally decorrelate video data to obtain the image.
18. The non-transitory computer readable medium of claim 14 , wherein the image is a video image and the instructions, if executed by the computing device, cause the computing device to perform operations further comprising temporally decorrelating the video image into two-dimensional images;
wherein the wavelet decomposition is encoded for each of the N subregions of each of the two-dimensional images.