• Corpus ID: 231662323

Weighted Fuzzy-Based PSNR for Watermarking

  title={Weighted Fuzzy-Based PSNR for Watermarking},
  author={Maedeh Jamali and Nader Karimi and Shadrokh Samavi},
One of the problems of conventional visual quality evaluation criteria such as PSNR and MSE is the lack of appropriate standards based on the human visual system (HVS). They are calculated based on the difference of the corresponding pixels in the original and manipulated image. Hence, they practically do not provide a correct understanding of the image quality. Watermarking is an image processing application in which the image's visual quality is an essential criterion for its evaluation… 

Figures from this paper

Real-world Deep Local Motion Deblurring

A Local Blur-Aware Gated network (LBAG) and several local blur-aware techniques to bridge the gap between global and local deblurring are proposed.



Adaptive blind image watermarking using edge pixel concentration

An adaptive blind watermarking method in the Contourlet transform domain is proposed that has high robustness and acceptable imperceptibility and is applied to the original image.

Robust watermarking in non-ROI of medical images based on DCT-DWT

A robust watermark method that embeds patient's information outside the region of interest (ROI) in medical image by using saliency as a means of measuring importance of regions and finding blocks having minimum overlap with the ROI is proposed.

Framework for robust blind image watermarking based on classification of attacks

A framework for blind watermarking is proposed which determines the type of attack that the image has gone through before extracting the watermark, and an attack classification method is proposed to identify the region of the frequency spectrum that is less damaged.

Robust image watermarking scheme using bit-plane of hadamard coefficients

The experimental results show that the proposed watermarking method, while providing transparency, is robust against many image processing attacks such as compression, image cropping and Gaussian filtering.

Image quality assessment: from error visibility to structural similarity

A structural similarity index is developed and its promise is demonstrated through a set of intuitive examples, as well as comparison to both subjective ratings and state-of-the-art objective methods on a database of images compressed with JPEG and JPEG2000.

Image Quality Assessment through FSIM, SSIM, MSE and PSNR—A Comparative Study

Comparing different image quality metrics to give a comprehensive view of structural and feature similarity measures between restored and original objects on the basis of perception is mainly stressed.

A comparative study of image quality assessment

Comparisons of popular IQA methods on validating 3 different test images with various image degradation factors show that although each method has different sensitivity for different distortion, MSSIM is a good metric among them in overall performance.

Saliency-Based Image Quality Assessment Criterion

Experimental results for a set of intuitive examples as well as validation on a database of 779 images with different distortion types demonstrate that the improved IQA criteria can get a better performance than their original forms.

ReDMark: Framework for residual diffusion watermarking based on deep networks

Review of Recent Type-2 Fuzzy Image Processing Applications

It is shown that type-2 fuzzy sets outperform both traditional image processing techniques as well as techniques using type-1 fuzzy sets, and provide the ability to handle uncertainty when the image is corrupted by noise.