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Vivo announced its cutting-edge, AI-powered Super HDR at a media event in China.
Following the previous breakthrough success in backlit photography, Vivo is
taking mobile photography to new heights with Super HDR’s auto scene detection
to produce clearer photos, better colors, more details and better tones.
Super HDR follows the same principles as regular HDR but merges more frames to
resolve the problems presented by contrasting strong dark and light tones in a
photo. Super HDR captures more frames and intelligently merges them to cater to
more extreme lighting scenarios.
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Great Frames Great Flexibility
Super HDR’s dynamic range can reach up to 14 EV (Exposure Value). With
just a single press of the shutter, Super HDR will capture up to 12
frames, significantly more frames than previously possible with existing
HDR technology.
This provides more image options for merging to perfectly light all the
parts of the eventual photo.
Optimized Details Under Extreme Light
To reduce the unnaturally processed look of regular HDR, Super HDR
adapts to different scenes and their dynamic range characteristics,
selecting and merging frames to best render the image’s highlights and
shadow details.
Super HDR then optimizes shadows to ensure the complex photo’s
highlights and shadows are balanced and natural.
Get Easy Yet Perfect People Shots
Regular HDR might sacrifice lighting for the person in focus for a
better lit photo, but Super HDR ensures the person is clear and
well-lit.
Super HDR employs smart scene detection to balance the lighting of the
person and the background to create a natural feel.
Advanced AI Improves Photos at All Stages
The Super HDR leverages complex AI algorithms to adapt to different
scenarios. The moment the shutter is pressed, the AI will detect the
scene to determine the ideal exposure strategy and accordingly select
the frames for merging.
This process ultimately delivers a natural looking shot which looks like
it was captured by the human eye.
Advantages of Super HDR
Highly adaptable: With a wider dynamic range of 14EV, Super HDR can
ensure perfect shots in a broader range of lighting scenarios, even in
adverse ones. This results in image that shows the details of the rock,
grass, mountains and clouds despite the back lit, high contrast
scenario.
Accurate and smart exposure selection: At up to 12 frames, Super HDR has
more lighting options for its smart frame selecting strategies to
correctly expose all parts of the photo. This retains the natural
contrast that is key to accent the features of this photo.
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Intelligent identification: AI-powered scene detection means that each
part of the photo can be identified and isolated for processing to
insure even complex photos are perfected. The AI can perfectly identify
and expose the unique shapes of these rocks, moss, waves and clouds in
this shot.
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Natural looking results: Super HDR produces more natural tones by reorganizing
and optimizing the highlights and shadow portions of the scene when merging the
frames and ensures the photo naturally matches the original scene as seen by
human eye. This shows the couple clearly and naturally despite sun and umbrella
creating such complex lighting.
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Perfectly lit portraits: Super HDR prioritizes the best lighting for the
person in the photo and adjusts the background exposure to produce an
optimal and natural portrait. Optimizing the lighting for the girl and
creating complimentary lighting of the sky and flowers help accentuate
her in the photo for a perfectly lit portrait.
Alex Feng, Senior Vice President at Vivo added that, “Vivo continues to
push the boundaries and provide the ultimate camera experience for
consumers. This goes beyond just adding powerful functions, but to
developing innovations that our users can immediately enjoy. Today’s
showcase of Super HDR is an example of our continued commitment to
mobile photography, to enable our consumers to shoot professional
quality photos at the touch of a button. Using intelligent AI, Super HDR
can capture more detail under any conditions, without additional demands
on the user.”
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