Blind estimation of white Gaussian noise variance in highly textured images

11/29/2017
by   Mykola Ponomarenko, et al.
0

In the paper, a new method of blind estimation of noise variance in a single highly textured image is proposed. An input image is divided into 8x8 blocks and discrete cosine transform (DCT) is performed for each block. A part of 64 DCT coefficients with lowest energy calculated through all blocks is selected for further analysis. For the DCT coefficients, a robust estimate of noise variance is calculated. Corresponding to the obtained estimate, a part of blocks having very large values of local variance calculated only for the selected DCT coefficients are excluded from the further analysis. These two steps (estimation of noise variance and exclusion of blocks) are iteratively repeated three times. For the verification of the proposed method, a new noise-free test image database TAMPERE17 consisting of many highly textured images is designed. It is shown for this database and different values of noise variance from the set 25, 49, 100, 225, that the proposed method provides approximately two times lower estimation root mean square error than other methods.

READ FULL TEXT
research
11/02/2019

Hybrid blind robust image watermarking technique based on DFT-DCT and Arnold transform

In this paper, a robust blind image watermarking method is proposed for ...
research
11/09/2022

Side-Informed Steganography for JPEG Images by Modeling Decompressed Images

Side-informed steganography has always been among the most secure approa...
research
11/12/2012

A Non-Blind Watermarking Scheme for Gray Scale Images in Discrete Wavelet Transform Domain using Two Subbands

Digital watermarking is the process to hide digital pattern directly int...
research
09/28/2020

Noise Variance Estimation Using Asymptotic Residual in Compressed Sensing

In compressed sensing, the measurement is usually contaminated by additi...
research
12/20/2016

Local Sparse Approximation for Image Restoration with Adaptive Block Size Selection

In this paper the problem of image restoration (denoising and inpainting...
research
05/28/2019

Conditionally Gaussian Random Sequences for an Integrated Variance Estimator with Correlation between Noise and Returns

Correlation between microstructure noise and latent financial logarithmi...

Please sign up or login with your details

Forgot password? Click here to reset