Abstract:
In one embodiment, a system determines pixel data from a pair of regions of an image generated by an imaging device, the pair of regions includes a first region and a second region, where the first region includes a first plurality of pixels and the second region includes a second plurality of pixels. The system determines a plurality of pixel pairs of the image, where a pixel pair includes a first pixel from the first plurality of pixels and a second pixel from the second plurality of pixels. The system calculates a plurality of contrasts based on the plurality of pixel pairs, where a contrast is calculated between the first pixel and the second pixel. The system determines a contrast distribution based on the plurality of contrasts. The system calculates a value representative of a capability of the imaging device to detect contrast based on the contrast distribution.
Abstract:
Embodiments of the present invention are directed to methods and systems for robust weighting of gray patches in automatic white balancing in an image-capture device by utilizing kernel density estimation techniques with dynamically variable bandwidth to determine the probability density of samples to create an initial estimate, then verifying the initial gray point estimate to account for outliers. In one embodiment, given a set of image data, an initial gray point estimate in a color space is determined for the set of image data. The initial estimate is then refined by weighting the sub-population with the greatest probability of being gray. A final evaluation that includes a further comparison to pre-programmed constraints determines a final estimate, which can still be further tuned according to user preferences by adjusting color biases. The resulting final gray point estimate provides greater stability, and greatly improved accuracy over traditional techniques and solutions.
Abstract:
In one embodiment, a system receives pixel data from a pair of regions of an image generated by an imaging device, the pair of regions includes a first region and a second region, where the first region includes a first plurality of pixels and the second region includes a second plurality of pixels. The system determines a plurality of pixel pairs, where a pixel pair includes a first pixel from the first plurality of pixels and a second pixel from the second plurality of pixels. The system calculates a plurality of contrasts based on the plurality of pixel pairs. The system determines a contrast distribution based on the plurality of contrasts. The system calculates a value representative of a capability of the imaging device to detect contrast based on the contrast distribution. The system determines a reduction in contrast detectability of the imaging device based on the value.
Abstract:
A method of decompression includes decompressing a compressed image according to a power curve to generate a partially decompressed image, wherein the compressed image is decompressed from a second bit depth that is lower than a first bit-depth at which the image was generated.
Abstract:
In various examples, apparatuses, systems, and techniques to perform offline image signal processing of source image data to generate target image data. In at least one embodiment, data collection using exposure and calibration setting of an image sensor is performed to generate source image data, which is then processed by using offline image signal processing to generate target data.
Abstract:
In one embodiment, a system receives pixel data from a pair of regions of an image generated by an imaging device, the pair of regions includes a first region and a second region, where the first region includes a first plurality of pixels and the second region includes a second plurality of pixels. The system determines a plurality of pixel pairs, where a pixel pair includes a first pixel from the first plurality of pixels and a second pixel from the second plurality of pixels. The system calculates a plurality of contrasts based on the plurality of pixel pairs. The system determines a contrast distribution based on the plurality of contrasts. The system calculates a value representative of a capability of the imaging device to detect contrast based on the contrast distribution. The system determines a reduction in contrast detectability of the imaging device based on the value.
Abstract:
Embodiments of the present invention are directed to methods and systems for robust weighting of gray patches in automatic white balancing in an image-capture device by utilizing kernel density estimation techniques with dynamically variable bandwidth to determine the probability density of samples to create an initial estimate, then verifying the initial gray point estimate to account for outliers. In one embodiment, given a set of image data, an initial gray point estimate in a color space is determined for the set of image data. The initial estimate is then refined by weighting the sub-population with the greatest probability of being gray. A final evaluation that includes a further comparison to pre-programmed constraints determines a final estimate, which can still be further tuned according to user preferences by adjusting color biases. The resulting final gray point estimate provides greater stability, and greatly improved accuracy over traditional techniques and solutions.
Abstract:
Dynamic white point management techniques include determining a white point of ambient light proximate to a display. A color profile adjustment is determined based upon the determined white point and intensity of the ambient light. The image color space is transformed to a display color space for rendering on the display based on the determined adjusted to the color profile.
Abstract:
In one embodiment, a system receives pixel data from a pair of regions of an image generated by an imaging device, the pair of regions includes a first region and a second region, where the first region includes a first plurality of pixels and the second region includes a second plurality of pixels. The system determines a plurality of pixel pairs, where a pixel pair includes a first pixel from the first plurality of pixels and a second pixel from the second plurality of pixels. The system calculates a plurality of contrasts based on the plurality of pixel pairs. The system determines a contrast distribution based on the plurality of contrasts. The system calculates a value representative of a capability of the imaging device to detect contrast based on the contrast distribution. The system determines a reduction in contrast detectability of the imaging device based on the value.
Abstract:
In various examples, apparatuses, systems, and techniques to perform offline image signal processing of source image data to generate target image data. In at least one embodiment, data collection using exposure and calibration setting of an image sensor is performed to generate source image data, which is then processed by using offline image signal processing to generate target data.