
Overview
This advanced image denoising solution presents a deeplearning based approach to the way noise is removed from digital images, leveraging the power of convolutional neural network model architecture to deliver exceptional results. This state-of-the-art solution effectively eliminates noise from custom images and ensures high-quality output. The solution is capable of preserving essential image details while removing unwanted noise, resulting in superior image clarity. To further enhance the denoising process, our solution incorporates bilateral filtering, a technique that smooths images while preserving edges. This advanced filtering method works in tandem with noise injection techniques to create a robust and comprehensive denoising solution.
Highlights
- The pre-trained model within our solution ensures that users can quickly and effectively denoise their images without the need for extensive training or fine-tuning. This out-of-the-box functionality makes our solution accessible to users of all skill levels and backgrounds.
- This solution can be used for preprocessing images for any predictive analysis to improve the accuracy, portection against adeversarial attacks on the models and other computer vision related tasks in various industries like manufacturing, insurance, surveilance etc.
- Need more machine learning, deep learning, NLP and Quantum Computing solutions. Reach out to us at Harman DTS.
Details
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Features and programs
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Pricing
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.m5.xlarge Inference (Batch) Recommended | Model inference on the ml.m5.xlarge instance type, batch mode | $50.00 |
ml.t2.xlarge Inference (Real-Time) Recommended | Model inference on the ml.t2.xlarge instance type, real-time mode | $5.00 |
ml.m4.4xlarge Inference (Batch) | Model inference on the ml.m4.4xlarge instance type, batch mode | $50.00 |
ml.m5.4xlarge Inference (Batch) | Model inference on the ml.m5.4xlarge instance type, batch mode | $50.00 |
ml.m4.16xlarge Inference (Batch) | Model inference on the ml.m4.16xlarge instance type, batch mode | $50.00 |
ml.m5.2xlarge Inference (Batch) | Model inference on the ml.m5.2xlarge instance type, batch mode | $50.00 |
ml.p3.16xlarge Inference (Batch) | Model inference on the ml.p3.16xlarge instance type, batch mode | $50.00 |
ml.m4.2xlarge Inference (Batch) | Model inference on the ml.m4.2xlarge instance type, batch mode | $50.00 |
ml.c5.2xlarge Inference (Batch) | Model inference on the ml.c5.2xlarge instance type, batch mode | $50.00 |
ml.p3.2xlarge Inference (Batch) | Model inference on the ml.p3.2xlarge instance type, batch mode | $50.00 |
Vendor refund policy
We do not provide any usage related refunds at this time.
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Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
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- Summary
Image file in PNG format
- Input MIME type
- image/png
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Business hours email support marketplaceSupp@harman.comÂ
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