Method and apparatus for adaptively sharpening an image
First Claim
Patent Images
1. A method of sharpening an image comprising:
- adaptively computing a crispening parameter for at least a portion of a captured image based, at least in part, on a measure of the edges and the brightness of the at least a portion of the captured image, comprising;
computing a luminance value for the at least a portion of the captured image;
computing a gradient magnitude value for the at least a portion of the captured image; and
computing the crispening parameter based, at least in part, on, approximately, the relative values of the computed luminance value and the computed gradient magnitude value; and
applying a kernel to the at least a portion of the captured image using the adaptively computed crispening parameter.
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Abstract
Briefly, in accordance with one embodiment of the invention, a method of sharpening an image includes the following. A crispening parameter is adaptively computed for a captured image based, at least in part, on a measure of the edges and brightness of the captured image. A kernel is applied to the captured image using the adaptively computed crispening parameter.
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Citations
32 Claims
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1. A method of sharpening an image comprising:
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adaptively computing a crispening parameter for at least a portion of a captured image based, at least in part, on a measure of the edges and the brightness of the at least a portion of the captured image, comprising;
computing a luminance value for the at least a portion of the captured image;
computing a gradient magnitude value for the at least a portion of the captured image; and
computing the crispening parameter based, at least in part, on, approximately, the relative values of the computed luminance value and the computed gradient magnitude value; and
applying a kernel to the at least a portion of the captured image using the adaptively computed crispening parameter. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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5. The method of claim 3, wherein the computed luminance value comprises a normalized, offset reduced, weighted measure of the luminance values of at least substantially all the image pixels in the at least a portion of the captured image.
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6. The method of claim 5, wherein the measure is weighted by computing the mean luminance value of at least substantially all of the image pixels in the at least a portion of the captured image.
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7. The method of claim 5, wherein the measure is offset-reduced, from the mean luminance value, subtracting a luminance value that is greater than the 5 percent lowest luminance values of at least substantially all of the image pixels in the at least a portion of the captured image.
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8. The method of claim 5, wherein the measure is normalized by dividing by a computed range of luminance values of at least substantially all of the image pixels of the at least a portion in the captured image.
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9. The method of claim 8, wherein the computed range of luminance values is substantially in accordance with the following relationship:
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10. The method of claim 5, wherein the luminance value is computed substantially in accordance with the following relationship:
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11. The method of claim 3, wherein the computed gradient magnitude value for the at least a portion of the captured image comprises a normalized, offset reduced, weighted measure of the gradient magnitude values of at least substantially all the image pixels in the at least a portion of the captured image.
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12. The method of claim 11, wherein the measure is weighted by computing the mean gradient magnitude value of at least substantially all of the image pixels in the at least a portion of the captured image.
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13. The method of claim 12, wherein the measure is offset reduced by, from the mean gradient magnitude value, subtracting a gradient magnitude value greater than 5 percent of at least substantially of the image pixels in the at least a portion of the captured image.
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14. The method of claim 11, wherein the measure is normalized by dividing by a computed range of gradient magnitude values of at least substantially all of the image pixels in the at least a portion of the captured image.
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15. The method of claim 8, wherein the computed range of gradient magnitude values is substantially in accordance with the following relationship:
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G5, where G95 is the gradient magnitude value smaller than 95 percent of the gradient magnitude values, and G5 is the gradient magnitude value greater than 5 percent of the gradient magnitude values, of at least substantially all of the image pixels in the at least a portion of the captured image.
- range=G95−
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16. The method of claim 11, wherein the gradient magnitude value is computed substantially in a accordance with the following relationship:
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17. The method of claim 1, wherein the at least a portion of the captured image comprises an entire captured image.
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18. An article comprising:
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a storage medium;
said storage medium having stored thereon, instructions, that, when executed, result in the following;
adaptively computing a crispening parameter for at least a portion of a stored image based, at least in part, on a measure of the edges and the brightness of the at least a portion of the stored image, including;
computing a luminance value for the at least of portion of the stored image;
computing a gradient magnitude value for the at least a portion of the stored image; and
computing the crispening parameter based, at least in part, on, approximately, the relative values of the computed luminance value and the computed gradient magnitude value; and
applying a kernel to the at least a portion of the stored image using the adaptively computed crispening parameter. - View Dependent Claims (19, 20, 21, 22, 23, 24, 25, 26)
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22. The article of claim 20, wherein the computed luminance value comprises a normalized, offset reduced, weighted measure of the luminance values of at least substantially all the image pixels in the at least a portion of the stored image.
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23. The article of claim 20, wherein the measure is weighted by computing the mean luminance value of at least substantially all of the image pixels in the at least a portion of the stored image.
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24. The article of claim 22, wherein the measure is offset reduced by, from the mean luminance value, subtracting a luminance value that is greater than the 5 percent lowest luminance values of at least substantially all of the image pixels in the at least a portion of the stored image.
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25. The article of claim 22, wherein the measure is normalized by dividing by a computed range of luminance values of at least substantially all of the image pixels of the at least a portion of the stored image.
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26. The article of claim 18, wherein the at least a portion of the stored image comprises an entire stored image.
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27. A system comprising:
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a digital imager;
said digital imager including the capability to adaptively compute a crispening parameter for at least a portion of a captured image based, at least in part, on a measure of the edges, the brightness of at least a portion of the captured image, including a relative magnitude of a pixel luminance and a pixel gradient magnitude. - View Dependent Claims (28, 29, 30, 31, 32)
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Specification