In this paper, we first introduce a spatio-temporal Just Noticeable Difference (JND) model based perceptual video coding (PVC) scheme which is completely compliant with HEVC. We incorporate into HEVC quantization process a JND model that takes into account both the temporal JND characteristics of temporal masking effects and the spatial JND characteristics of the luminance adaptation and contra...

The presence of computers in almost every sphere of today’s human life creates the need for bridging the gap between human and machine perception of the world. It is a difficult task, given that the complexity and structure of human mind and the architecture of computers are not in accordance. Since humans are mainly visual creatures, developing ways to compare the similarity of images which wo...

Although widely recognized as a promising candidate for the next generation of data storage devices, holographic data storage systems (HDSS) incur adverse effects such as noise, misalignment, and aberration. Therefore, based on the structural similarity (SSIM) concept, this work presents a more accurate locating approach than the gray level weighting method (GLWM). Three case studies demonstrat...

Underwater image enhancement is a Low-Level Vision task that plays an important role in marine resource development, but the light absorption and scattering cause severe underwater quality degradation. To solve these problems, this paper proposes neural network based on spatial channel attention module reinforces network’s to information. The Confidence Generator can precisely extract feature m...

Compressive Sensing or Compressed sensing (CS) is a latest technique used for compression of medical signals and images which benefits both the speed accuracy. The performance CS based mostly dependent on decoding methods rather than encoding in practice. It has been found literature that algorithms have got least importance algorithms. In this paper an efficient scheme modified parallel block ...

Objective This study evaluates the feasibility of direct scatter and attenuation correction whole-body 68Ga-PSMA PET images in image domain using deep learning. Methods Whole-body 399 subjects were used to train a residual learning model, taking non–attenuation-corrected (PET-nonAC) as input CT-based attenuation-corrected (PET-CTAC) target (reference). Forty-six an independent validation datase...

Multilevel thresholding is one of the most effective image segmentation methods, due to its efficiency and easy implementation. This study presents a new multilevel method based on modified artificial ecosystem-based optimization (AEO). The differential evolution (DE) applied overcome shortcomings original AEO. main idea proposed method, (AEODE), employ operators DE as local search AEO improve ...

This paper presents a novel watermarking scheme based on Discrete Wavelet Transforms and Singular Value Decomposition. The singular values of HL band is going to embedded with watermark singular values making use of scaling factor (?). The effectiveness of the proposed algorithm is measured using peak signal to noise ratio (PSNR), structural similarity index(SSIM) and normalized correlation (NC...