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fbcnn

Use Case and High-Level Description

The fbcnn model is a flexible blind convolutional neural network to remove JPEG artifacts. Model based on "Towards Flexible Blind JPEG Artifacts Removal" paper. It was implemented in PyTorch* framework. Model works with color jpeg images. For details about this model and other jpeg artifacts removal models (for grayscale images and double jpeg restoration), check out the "Towards Flexible Blind JPEG Artifacts Removal (FBCNN, ICCV 2021)".

Specification

Metric Value
Type Image Processing
GFLOPs 1420.78235
MParams 71.922
Source framework PyTorch*

Accuracy

Model was tested on LIVE_1 dataset.

Metric Original model Converted model
PSNR 34.34Db 34.34Db
SSIM 0.99 0.99

Input

Original model

Image, name - image_lq, shape - 1, 3, 512, 512, format is B, C, H, W, where:

  • B - batch size
  • C - channel
  • H - height
  • W - width

Channel order is RGB. Scale value - 255.

Converted model

Image, name - image_lq, shape - 1, 3, 512, 512, format is B, C, H, W, where:

  • B - batch size
  • C - channel
  • H - height
  • W - width

Channel order is BGR

Output

Original Model

Restored image, name - image_result, shape - 1, 3, 512, 512, output data format is B, C, H, W, where:

  • B - batch size
  • C - channel
  • H - height
  • W - width

Channel order is RGB.

Converted Model

Restored image, name - image_result, shape - 1, 3, 512, 512, output data format is B, C, H, W, where:

  • B - batch size
  • C - channel
  • H - height
  • W - width

Channel order is BGR.

Download a Model and Convert it into OpenVINO™ IR Format

You can download models and if necessary convert them into OpenVINO™ IR format using the Model Downloader and other automation tools as shown in the examples below.

An example of using the Model Downloader:

omz_downloader --name <model_name>

An example of using the Model Converter:

omz_converter --name <model_name>

Demo usage

The model can be used in the following demos provided by the Open Model Zoo to show its capabilities:

Legal Information

The original model is distributed under the following license.