An efficient computational approach to balance the trade-off between image forensics and perceptual image quality

The increasing trends of image processing applications play a very crucial role in the modern-day information propagation with the ease of cost effectiveness. As image transmission or broadcasting is the simplest form communication which determines easy, fastest and effective way of network resource utilization, thereby since past one decade it has gained significant attention among various research communities. As most of the image attributes often contains visual entities corresponding to any individual, hence, exploration and forging of such attributes with malicious intention often leads to social and personal life violation and also causes intellectual property right violation when social media, matrimonial and business applications are concerned. Although an extensive research effort endeavored pertaining to image forensics in the past, but existing techniques lack effectiveness towards maintaining equilibrium in between both image forensics and image quality assessment performances from computational viewpoint. Addressing this limitation associated with the existing system, this proposed study has come up with a novel solution which achieves higher degree of image forensics without compromising the visual perception of an image. The study formulates an intelligent empirical framework which determines cost-effective authentication of an image object from both complexity and quality viewpoint. Finally, the study also presented a numerical simulation outcome to ensure the performance efficiency of the system

Novel framework for optimized digital forensic for mitigating complex image attacks

Digital Image Forensic is significantly becoming popular owing to the increasing usage of the images as a media of information propagation. However, owing to the presence of various image editing tools and softwares, there is also an increasing threats over image content security. Reviewing the existing approaches of identify the traces or artifacts states that there is a large scope of optimization to be implmentation to further enhance teh processing. Therfore, this paper presents a novel framework that performs cost effective optmization of digital forensic tehnqiue with an idea of accurately localizing teh area of tampering as well as offers a capability to mitigate the attacks of various form. The study outcome shows that propsoed system offers better outcome in contrast to existing system to a significant scale to prove that minor novelty in design attribute could induce better improvement with respect to accuracy as well as resilience toward all potential image threats

A review of the drug pregabalin

Pregabalin (PGB) is a well-established anticonvulsant and analgesic agent. The stydy reviewed the mechanism of action, pharmacokinetics, adverse drug reactions, contraindications, and various uses of PGB. Literature search was done to identify the relevant studies. PGB is an antagonist of voltage-gated calcium channels and specifically binds to α2-δ subunit to produce antiepileptic and analgesic activity. It has less protein binding activity and lacks hepatic metabolism. It is unlikely to cause pharmacokinetic drug-drug interactions. It has a wide safety margin and does not require serum drug monitoring. The above-mentioned favorable pharmacological benefits of PGB makes it a first-line or adjunctive therapy in various conditions like diabetic peripheral neuropathy, post-herpetic neuralgia, in partial seizures and generalized anxiety disorders