In this paper, a new universal blind image quality assessment algorithm is proposed that works in presence of various distortions. The proposed algorithm uses natural scene statistics in spatial domain for generating Wakeby distribution statistical model to extract quality aware features. The features are fed to an SVM (support vector machine) regression model to predict quality score of input ...

This review is focused on image quality model building, particularly in the context of the Image Quality Circle. There are two fundamentally different ways to modeling image quality; the impairment approach and the quality approach. Impairment looks at decreases in image quality from some reference or ideal. The quality approach attempts to model the judgment of image quality directly, independ...

Online communication platforms prompted the versatility and easiness in communication. That’s why these are witnessing abrupt rise their usage. On other side, it can lead to unauthorized replication alteration of digital images that raises security concerns. Ensuring robustness, imperceptibility watermarking has become a critical task. SVD-LWT technique along with entropy is presented Y-channel...

In this paper a novel algorithm which is based on hamming code and 2 k correction is proposed. The new method also utilizes canny edge detection and coherent bit length. Firstly, canny edge detector is applied to detect the edge of cover image and only edge pixels are selected for embedding payload. In order to enhance security, the edge pixels are scrambled. Then hamming encoding is practiced ...

We report a new optical arrangement that creates high-efficiency, high-quality Fresnel incoherent correlation holography (FINCH) holograms using polarization sensitive transmission liquid crystal gradient index (TLCGRIN) diffractive lenses. In contrast, current universal practice in the field employs a reflective spatial light modulator (SLM) to separate sample and reference beams. Polarization...

Image denoising is a compromise between the removal of the largest possible amount of noise and the preservation of signal integrity and image resolution. To address this issue, a new hybrid approach is proposed by fusing dual band spectral subtraction and wavelet packet based thresholding method. The dual band spectral subtraction method (SS) is used for preprocessing of noisy MRI images in or...

Image inpainting is one of the important tasks in computer vision which focuses on reconstruction missing regions an image. The aim this paper to introduce image model based Wasserstein Generative Adversarial Imputation Network. generator network uses building blocks convolutional layers with different dilation rates, together skip connections that help reproduce fine details output. This combi...

In this paper, we present a real-time preprocessing algorithm for image enhancement for endoscopic images. A novel dictionary based color mapping algorithm is used for reproducing the color information from a theme image. The theme image is selected from a nearby anatomical location. A database of color endoscopy image for different location is prepared for this purpose. The color map is dynami...