In this paper, we propose a viewing direction based least significant bit (LSB) data hiding method for 360° videos. The distributions of frequency latitude and longitude are used to control the amount secret be hidden at latitude, longitude, or both Normalized Gaussian mixture models mimicking behavior humans formulated define weight functions longitude. On basis, analytical expressions capacit...

Conditional probability to predict sub-block significance improves the peak signal-to-noise ratio (PSNR) performance of a block-set wavelet image coder. Adaptive scanning of sub-blocks results in a further gain in PSNR performance. Together the related algorithmic changes introduced in this paper result in competitive PSNR performance without the need for an arithmetic coding stage. As a conseq...

Prior research studies have shown that the peak signal to noise ratio (PSNR) is the most frequent watermarked image quality metric that is used for determining the levels of strength and weakness of watermarking algorithms. Conversely, normalised cross correlation (NCC) is the most common metric used after attacks were applied to a watermarked image to verify the strength of the algorithm used....

Methods for estimating JPEGcompressed image quality without the original image are investigated. Estimation of peak signalto-noise (PSNR) is calculated by utilizing the Laplacian nature of the image transform coefficients along with the quantization step size used to generate the image. Estimation of the Laplacian lambda () values are shown as well as improvements to the PSNR estimation that a...

we propose a method for medical image denoising using calculus of variations and local variance estimation by shaped windows. this method reduces any additive noise and preserves small patterns and edges of images. a pyramid structure-texture decomposition of images is used to separate noise and texture components based on local variance measures. the experimental results show that the proposed...

In this supplementary file, we first present more quantitative results for experiments that employed the 91-image dataset as the training set. SSIM and IFC [1] are reported. Then we follow the literature to compare with seven stateof-the-art super-resolution algorithms trained with different datasets. All results are evaluated in terms of PSNR, SSIM and IFC on the Set5 [2], Set14 [3] and BSD200...

Measurement of image quality is very crucial to many image processing applications. Quality metrics are used to measure the quality of improvement in the images after they are processed and compared with the original images. Compression is one of the applications where it is required to monitor the quality of decompressed / decoded image. JPEG compression is the lossy compression which is most ...