Pre-charge phase data compression
First Claim
Patent Images
1. An apparatus comprising:
- one or more processors; and
logic encoded in one or more tangible media for execution by the one or more processors and when executed operable to perform operations including;
computing prediction values for image data, wherein the image data is pre-charge phase data;
computing residual data based on the prediction values;
determining a average prediction value based on the prediction values, wherein the average prediction value is computed for each block;
computing the residual data based on the average prediction value;
quantizing the residual data, wherein the quantizing of the residual data is based on a quantization value;
entropy encoding the quantized residual data; and
refining an inverse quantized residual data based on the residual data and a number of left-over bit-budget after entropy encoding.
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Abstract
Implementations generally relate to pre-charge phase data compression. In some implementations, a method includes computing prediction values for image data, where the image data is pre-charge phase data. The method also includes computing residual data based on the prediction values. The method also includes quantizing the residual data. The method also includes entropy encoding the quantized residual data. The method also includes refining an inverse quantized residual data based on one or more of the residual data and a number of left-over bit-budget after entropy encoding.
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Citations
12 Claims
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1. An apparatus comprising:
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one or more processors; and logic encoded in one or more tangible media for execution by the one or more processors and when executed operable to perform operations including; computing prediction values for image data, wherein the image data is pre-charge phase data; computing residual data based on the prediction values; determining a average prediction value based on the prediction values, wherein the average prediction value is computed for each block; computing the residual data based on the average prediction value; quantizing the residual data, wherein the quantizing of the residual data is based on a quantization value; entropy encoding the quantized residual data; and refining an inverse quantized residual data based on the residual data and a number of left-over bit-budget after entropy encoding. - View Dependent Claims (2, 3, 4, 5)
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6. Software encoded in one or more non-transitory computer-readable media for execution by one or more processors and when executed operable to perform operations comprising:
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computing prediction values for image data, wherein the image data is pre-charge phase data; computing residual data based on the prediction values; determining a average prediction value based on the prediction values, wherein the average prediction value is computed for each block; computing the residual data based on the average prediction value; quantizing the residual data, wherein the quantizing of the residual data is based on a quantization value; entropy encoding the quantized residual data; and refining an inverse quantized residual data based on the residual data and a number of left-over bit-budget after entropy encoding. - View Dependent Claims (7, 8, 9)
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10. A computer-implemented method comprising:
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computing prediction values for image data, wherein the image data is pre-charge phase data; computing residual data based on the prediction values; determining a average prediction value based on the prediction values, wherein the average prediction value is computed for each block; computing the residual data based on the average prediction value; quantizing the residual data, wherein the quantizing of the residual data is based on a quantization value; entropy encoding the quantized residual data; and refining an inverse quantized residual data based on the residual data and a number of left-over bit-budget after entropy encoding. - View Dependent Claims (11, 12)
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Specification