Underwater document recognition

In this thesis, we propose an Image Quality Assessment and Comparison metrics for Image denoising algorithms. It is well known that image denoising plays a significant role in various Image related applications. Motivated by this, we attempt to develop Image quality assessment and comparison metrics specifically targeting image denoising algorithms. We have prepared a dataset containing images of text documents with appropriate noise specifically to meet the needs of this project. Images are denoised using different algorithms and then fed into an OCR engine to obtain text, we then compare it with text obtained using ground truth images which do not have any added noise to assess denoised image quality obtained using different algorithms