"From an image quality standpoint, capturing images at low light continues to be a challenge for not only the image sensor but also the image processing. Fewer photons means less signal for the hardware, so the software has to do more to generate good images. Another challenge is the latency and accuracy of autofocus. Camera users want to capture in-focus memories without having a lag after pushing the shutter button. With moving objects and camera handshake, this isn't always easy."
IS Americas Interviews Google Image Scientist
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Image Sensor Americas conference to be held on October 25-26, 2016 in San Francisco, publishes an interview with Jonathan Phillips, Staff Image Scientist at Google. Jonathan talks about the main mobile imaging challenges:
"From an image quality standpoint, capturing images at low light continues to be a challenge for not only the image sensor but also the image processing. Fewer photons means less signal for the hardware, so the software has to do more to generate good images. Another challenge is the latency and accuracy of autofocus. Camera users want to capture in-focus memories without having a lag after pushing the shutter button. With moving objects and camera handshake, this isn't always easy."
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"From an image quality standpoint, capturing images at low light continues to be a challenge for not only the image sensor but also the image processing. Fewer photons means less signal for the hardware, so the software has to do more to generate good images. Another challenge is the latency and accuracy of autofocus. Camera users want to capture in-focus memories without having a lag after pushing the shutter button. With moving objects and camera handshake, this isn't always easy."
