Image Super -Resolution

[Priyankasanyal04]

Is your feature request related to a problem? Please describe. A clear and concise description of what the problem is. Yes, Image Super-Resolution (ISR) is directly related to solving specific problems in various fields that involve image quality and resolution enhancement. In many cases, images captured or stored at low resolution lack detail, making them less useful or visually appealing. This is common in old photos, compressed images, and low-quality video frames. ISR uses deep learning to enhance the image's resolution, reconstructing finer details, and improving the quality.

Describe the solution you'd like A clear and concise description of what you want to happen. The model takes a low-resolution image as input, typically one that has been downscaled or captured at a lower resolution. The ISR model, often a Super-Resolution Convolutional Neural Network (SRCNN), processes the input image through a series of convolutional layers: First Layer: Extracts low-level features (edges, textures) from the input image. Intermediate Layers: Learn deeper patterns and structures in the image, refining the extracted features. Final Layer: Reconstructs a higher-resolution version of the image using learned features, while preserving important content. The model outputs a high-resolution image that has more detail and clarity than the input. The image is upscaled to the desired resolution. Describe alternatives you've considered A clear and concise description of any alternative solutions or features you've considered.

1. Generative Adversarial Networks (GANs) for ISR
2. Fast Super-Resolution Models (FSRCNN)
3. Deep Recursive Residual Network (DRRN)

Approach to be followed (optional) A clear and concise description of the approach to be followed.

Additional context Add any other context or screenshots about the feature request here.

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Thanks for raising this issue! However, we believe a similar issue already exists. Kindly go through all the open issues and ask to be assigned to that issue.

[Priyankasanyal04]

no such issue exists. @UppuluriKalyani please review it