Video image data processing in electronic devices
In some embodiments, an electronic device for compressing video image data includes a housing, an image sensor, a memory device, and one or more processors. The image sensor can generate image data from light incident on the image sensor. The one or more processors can transform the image data to obtain transform coefficients, quantize the transform coefficients, encode the quantized transform coefficients, and store the quantized transform coefficients to the memory device. The one or more processors can encode the quantized transform coefficients at least by determining a range of multiple ranges in which one transform coefficient is included, determining a value within the range to which the one transform coefficient corresponds, encoding using a first algorithm the range as a range code, and encoding using a second algorithm the value as a value code.
1. An electronic device, comprising:
a housing;
an image sensor comprising a color filter array and configured to generate motion video image data from light incident on the image sensor;
a memory device; and
one or more processors configured to:
apply a lossy transform to the motion video image data, thereby transforming the motion video image data from a first bit-width to a second bit-width lower than the first bit-width;
subsequent to application of the lossy transform, transform the motion video image data to obtain transform coefficients;
quantize the transform coefficients to obtain quantized transform coefficients including a first quantized transform coefficient and a second quantized transform coefficient different from the first quantized transform coefficient;
encode some of the quantized transform coefficients using a first algorithm to obtain first encoded coefficients;
encode some of the quantized transform coefficients using a second algorithm to obtain second encoded coefficients; and
store the first and second encoded coefficients to the memory device in a compressed file.
2. The electronic device of claim 1 , wherein the one or more processors are configured to quantize the transform coefficients by at least using at least a first quantization table and a second quantization table different from the first quantization table.
3. The electronic device of claim 1 , wherein the one or more processors are configured to apply noise filtering to the image data.
4. The electronic device of claim 1 , wherein the compressed file comprises YUV data.
5. The electronic device of claim 1 , wherein the compressed file comprises raw data.
6. The electronic device of claim 1 , wherein the lossy transform comprises a piecewise linear function.
7. The electronic device of claim 1 , wherein the first algorithm comprises a Huffman algorithm and the second algorithm comprises a Golomb algorithm.
8. The electronic device of claim 1 , wherein the one or more processors is configured to vary the first algorithm during processing of the image data.
9. The electronic device of claim 8 , wherein the one or more processors is configured to vary the first algorithm from processing a first frame of the image data to processing a second frame of the image data.
10. The electronic device of claim 8 , wherein the second algorithm remains constant during processing of the image data by the one or more processors.
11. The electronic device of claim 1 , wherein the one or more processors is configured to transform the image data using a discrete cosine transform.
12. The electronic device of claim 1 , wherein the electronic device is a mobile phone.
13. The electronic device of claim 1 , further comprising a display configured to present holographic images generated by the one or more processors from the image data.
14. A method of compressing and storing motion video image data, comprising:
with an image sensor, generating motion video image data from light incident on the image sensor;
applying a lossy transform to the motion video image data, thereby transforming the motion video image data from a first bit-width to a second bit-width lower than the first bit-width;
subsequent to application of the lossy transform, transforming the motion video image data to obtain transform coefficients;
quantizing the transform coefficients to obtain quantized transform coefficients including a first quantized transform coefficient and a second quantized transform coefficient different from the first quantized transform coefficient;
encoding some of the quantized transform coefficients using a first algorithm to obtain first encoded coefficients;
encoding some of the quantized transform coefficients using a second algorithm to obtain second encoded coefficients; and
storing the first and second encoded coefficients to a memory device in a compressed file.
15. The method of claim 14 , further comprising applying noise filtering to the image data.
16. The method of claim 14 , wherein the compressed file comprises YUV data.
17. The electronic device of claim 1 , wherein the compressed file comprises raw data.
18. The method of claim 14 , wherein the quantizing the transform coefficients comprises using at least a first quantization table and a second quantization table different from the first quantization table.
19. The method of claim 14 , wherein the lossy transform comprises a piecewise linear function.
20. The method of claim 14 , wherein the first algorithm comprises a Huffman algorithm and the second algorithm comprises a Golomb algorithm.