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453 Deep CNN Based Blind Image Quality Predictor PDF

75 Pages·2021·English
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by ['sundhar kurukuri']| 2021| 75 pages| English

About 453 Deep CNN Based Blind Image Quality Predictor

This document is a major project report submitted by K. Sundhar for their Bachelor of Technology degree. It presents a deep CNN-based model for blind image quality prediction. The proposed framework uses a CNN to predict an objective pixel error map and reliability map for input images without any reference images. It then learns the relationship between these predicted maps and subjective human opinion scores to output a blind quality score. The model architecture, image normalization process, map prediction, learning objectives, and training procedure are described. Simulation results demonstrating the model's performance are also provided.

Detailed Information

Author:['sundhar kurukuri']
Publication Year:2021
Pages:75
Language:English
Format:PDF
Price:FREE
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