Practically all video streams have noise of various types and amplitudes. Noise lowers the subjective quality of video, leads to a decreased compression ratio during encoding and increases the difficulty of other types of video processing. Temporal and spatial filtration are used to denoise video. There is a multitude of denoising solutions on the market, here is a comparison of some of them.
We offer a range of denoising algorithms with various speed/quality trade-offs. Versions tailored to hardware implementation are available. Also, we have developed denoising algorithms applicable to static image processing (also known as spatial denoisers).
Primary Applications
Digital camcorders
Television equipment
DVD and HD DVD recorders
Video CD/DVD/DivX players
Stream pre-processing for better quality/compression ratio trade-off after encoding by either lossy or lossless video codecs
Key Features
Various speed/quality trade-offs
Competitive objective and subjective quality characteristics
Fully automatic
Preserves details
Suitable for hardware implementation
Basic Deliverables
Reference model in "C"
C + Assembler sources of an implementation optimized for PC (if required)
Algorithm description
Software description
Verification instructions
Basic Deliverables
Source code for a reference implementation in C
C and assembly language source code for an implementation optimized for the PC (if required)
Algorithm description
Software description
Verification instructions
Contact Information
For information on licensing, please contact our
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