Encrypted Photo Filtering App
Encrypted image filtering using homomorphic encryption
# Photo & Image EditorWhat is Encrypted Photo Filtering App?
Today we're happy to release a real-life use case of Fully Homomorphic Encryption (FHE): an encrypted image filtering app using FHE. You can check it out here: https://huggingface.co/spaces/zama-fhe/encrypted_image_filtering
Problem
Users seek advanced image filtering applications that maintain privacy and data integrity. Traditional image filters operate on unencrypted data, posing privacy and security risks by potentially exposing sensitive information.
Solution
A web-based encrypted image filtering app that utilizes Fully Homomorphic Encryption (FHE) to enable users to apply filters on images without decrypting them, hence preserving privacy and security. Users can upload an image and apply a variety of filters while the data remains encrypted throughout the process.
Customers
Privacy-conscious individuals, photographers, and organizations looking to leverage advanced image processing while ensuring data stays encrypted.
Unique Features
The use of Fully Homomorphic Encryption (FHE) for image filtering distinguishes it from other image filtering apps by allowing computations on encrypted data, ensuring unmatched privacy and security.
User Comments
Users appreciate the enhanced privacy.
Intrigue around the use of FHE technology.
Positive feedback on ease of use.
Requests for more filter options.
Interest in expanding the app's capabilities beyond filtering.
Traction
Since the product is relatively new and specific details like number of users, revenue, or financing are not publicly available, traction specific figures couldn't be found.
Market Size
Given its niche focus on privacy through encryption, direct market size data is scarce. Comparatively, the photo editing software market was valued at $771.8 million in 2021 and is expected to grow, indicating a substantial opportunity for specialized tools like this.
