We deliver optimized solutions backed by superior algorithms that ensure maximum accuracy and performance. Our solutions offer both real-time and offline digital image processing; equipped with analysis, data labeling and automated testing features. Our expertise in embedded systems and an extensive set of tools enable us to create solutions that can be implemented swiftly and seamlessly integrated with image and video capture and processing systems and any other computer vision processes.
We work closely with technology partners to create the best and most insightful computer vision applications. Our R&D teams strive to create competitive applications that meet and exceed client requirements.
Check out a demo of our Road Traffic Analysis app to see our capability in Computer Vision.
Cutting Edge Computer Vision Services
Our Computer Vision solutions cater to the visual data acquisition and processing needs of a broad range of industries and create capabilities that boost performance and productivity.
Key Computer Vision services offered by Folio3 are:
Biometric Identity Authentication
Event Detection and Recognition
Compression and Filtering
Advanced Computational Imaging
Video Archiving and Retrieval
Image and Video-based Indexing
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Image Similiarity FAQs
Best visual similarity duplicate image finder app?
- Awesome Duplicate Photo Finder
- Image comparer
- Visual Similarity Duplicate Images Finder
How can we measure image similarity?
- Squared Differences – SSD
- Mutual Information – MI
- Normalized Mutual Information – NMI
- Cross-Correlation – CC
Image quality assessment from error visibility to structural similarity?
Error Visibility is a universally accepted approach and it is essentially accomplished by simulating the functional properties of early stages of the Human Visual System, as characterized by both psychophysical and physiological elements. However, there are several limitations to this approach including quality definition, suprathreshold problem, natural image complexity, decorrelation problem, and the cognitive interaction problem. The structural similarity approach addresses all these limitations.
What is Psnr and SSIM?
SSIM is an abbreviation for structural similarity index and PSNR is an abbreviation for peak signal-to-noise ratio. Both these are image similarity tests and determine exactly how much quality is lost due to encoding.