Underwater No-Reference Image Quality Assessment for Display Module of ROV

The optical images collected by remotely operated vehicles (ROV) contain a lot of information about underwater (such as distributions of underwater creatures and minerals), which plays an important role in ocean exploration. However, due to the absorption and scattering characteristics of the water medium, some of the images suffer from serious color distortion. These distorted color images usually need to be enhanced so that we can analyze them further. However, at present, no image enhancement algorithm performs well in any scene. Therefore, in order to monitor image quality in the display module of ROV, a no-reference image quality predictor (NIPQ) is proposed in this paper. A unique property that differentiates the proposed NIPQ metric from existing works is the consideration of the viewing behavior of the human visual system and imaging characteristics of the underwater image in different water types. The experimental results based on the underwater optical image quality database (UOQ) show that the proposed metric can provide an accurate prediction for the quality of the enhanced image.

Air Gap Penetration

The issue of data security is very paramount for any organization now a day So through this project we will show how an attacker can steal data from the air �gapped channels and also provide some measures in order to protect data from such type of attacks. Now a day attackers can leak data from isolated, air-gapped computers to nearby smart phones via covert magnetic signals. Attacks have been demonstrated on eavesdropping computer displays by utilizing these emissions as a side-channel vector. The accuracy of producing a screen pic depends on the emission sampling rate and bandwidth of the attackers signal hardware. The cost of radio frequency hardware increased with supported frequency range and bandwidth. A number of affordable software defined radio equipment solutions are currently available satisfying a number of radio-focused attacks at a proper price point. This work investigates that the accuracy influencing factors, other than the sample rate and bandwidth, which are noise removal, image blending, and image quality adjustments, that affect the perfection of monitor image reconstruction through electromagnetic side-channel attacks.