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computational photography
Grammar usage guide and real-world examplesUSAGE SUMMARY
The phrase "computational photography" is correct and usable in written English.
It can be used when discussing photography techniques that utilize computer algorithms to enhance or manipulate images. Example: "The latest smartphone features advanced computational photography capabilities that allow users to take stunning photos in low light conditions."
✓ Grammatically correct
Academia
News & Media
Science
Alternative expressions(3)
Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Human-verified examples from authoritative sources
Exact Expressions
60 human-written examples
My research interests include problems in computer vision, computer graphics, computational photography, and machine learning.
My research interests are in computational photography and computer graphics.
Academia
Computer vision and computational photography research in Marc Levoy's team, hosted by Jon Barron.
Non-blind deconvolution has been an active challenge in the research fields of computer vision and computational photography.
His research interests include computer vision and computational photography.
Note that image compression, computer graphics, and computational photography are also important fields of image processing, although they are not covered by this review paper.
This year, the course will focus on computational photography using mobile computing platforms, i.e. cell phones.
Academia
It's pretty cool: The company's patent-pending computational photography tech combines computer graphics, object recognition, image processing and digital photography to produce interactive assets.
News & Media
Describes itself as: Polarr is a computational photography company that's focused on computer graphics, computer vision and artificial intelligence.
News & Media
His research interests span the fields of computational photography, inverse problems in imaging, and human-computer interaction.
Computational photography, he said, draws on the power of computer software and processing to extend the capabilities of digital imaging.
News & Media
Expert writing Tips
Best practice
When writing about "computational photography", specify the specific techniques or algorithms involved to provide more clarity and context. For example, mention HDR imaging, panoramic stitching, or light field imaging.
Common error
Avoid using "computational photography" as a catch-all term. Instead, describe the specific processes and algorithms that fall under this umbrella. For example, instead of saying 'This camera uses computational photography', specify 'This camera uses HDR imaging to improve dynamic range'.
Source & Trust
89%
Authority and reliability
4.5/5
Expert rating
Real-world application tested
Linguistic Context
The phrase "computational photography" functions as a noun phrase identifying a specific field within photography that utilizes computational techniques. This includes the design of new imaging methods that go beyond traditional cameras. Ludwig AI indicates its correctness and usability in written English.
Frequent in
Academia
50%
News & Media
25%
Science
25%
Less common in
Formal & Business
0%
Encyclopedias
0%
Wiki
0%
Ludwig's WRAP-UP
In summary, "computational photography" is a noun phrase denoting a field that enhances digital photography through computation. Ludwig AI confirms its correctness, and its usage is very common across academic, scientific, and news media. This multidisciplinary field combines elements of computer science, image processing, and optics to create innovative imaging techniques. To ensure clarity, writers should specify which techniques (like HDR or panoramic stitching) fall under "computational photography".
More alternative expressions(6)
Phrases that express similar concepts, ordered by semantic similarity:
algorithmic photography
Emphasizes the use of algorithms in image capture and processing, differing slightly in focus.
digital image processing
Broader term encompassing various techniques for manipulating digital images, including those used in computational photography.
computer-enhanced photography
Highlights the enhancement aspect of using computers in photography.
imaging science
A more general term that includes computational photography as a subfield, but also covers other aspects of imaging.
numerical photography
Focuses on the numerical methods and calculations involved in creating images.
camera-based computing
Highlights the computational capabilities embedded within camera systems.
intelligent photography
Emphasizes the intelligent or smart features enabled by computation.
software-defined photography
Stresses the role of software in defining the photographic process.
computer vision photography
Combines computer vision techniques with photography to extract information from images.
synthetic photography
Refers to creating images through computational means rather than direct capture.
FAQs
How is "computational photography" used in mobile devices?
In smartphones, "computational photography" enhances image quality through features like HDR, portrait mode, and low-light enhancement. These features use algorithms to process images and create better results than traditional photography alone.
What are some real-world applications of "computational photography"?
"Computational photography" is used in various fields, including medical imaging, autonomous vehicles, and security systems, to improve image quality, extract information, and enhance visual perception.
What is the difference between digital photography and "computational photography"?
Digital photography captures images using digital sensors, while "computational photography" uses algorithms to enhance or manipulate those images. "Computational photography" builds upon digital photography by adding a layer of software processing to improve image quality and create new possibilities.
What skills are needed to work in "computational photography"?
Professionals in "computational photography" typically need a background in computer science, image processing, and mathematics, with expertise in areas like machine learning, computer vision, and signal processing.
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Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Source & Trust
89%
Authority and reliability
4.5/5
Expert rating
Real-world application tested