The authentication and content protection of multimedia data is a challenging task in the present scenario. One solution is to generate the perceptual hash which essentially authenticates the multimedia data and can also be dealt with image database search problems. In this article, a novel system for generating an image hash is presented. The proposed system utilizes the global and local features in the hash generation process. The local features are obtained from non-linear scale-space based KAZE features. These KAZE features have the ability to capture the most stable point under several content preserving distortions. In contrast, first the input image is converted to a normalized image, it is transformed to the log-polar coordinate system, and then a reference image using the local contrast in the wavelet domain is obtained to extrcat the global features. An intermediate hash sequence is achieved by extracting the significant information from the reference image using the singular value decomposition. The final hash sequence combines both the vectors followed by the randomization process. Extensive experiments are conducted to demonstrate the feasibility and the robustness of the proposed hashing system against a wide range of intentional/unintentional distortions. Further, the comparative analysis with some state-of-the-art techniques validates the better discrimination of the proposed work.

The protection of sensitive and confidential data become a challenging task in the present scenario as more and more digital data is stored and transmitted between the end users. The privacy is vitally necessary in case of medical data, which contains the important information of the patients. In this article, a novel biometric inspired medical encryption technique is proposed based on newly introduced parameterized all phase orthogonal transformation (PR-APBST), singular value, and QR decomposition. The proposed technique utilizes the biometrics of the patient/owner to generate a key management system to obtain the parameters involved in the proposed technique. The medical image is then encrypted employing PR-APBST, QR and singular value decomposition and is ready for secure transmission or storage. Finally, a reliable decryption process is employed to reconstruct the original medical image from the encrypted image. The validity and feasibility of the proposed framework have been demonstrated using an extensive experiments on various medical images and security analysis.

As mobile displays proliferate across the world, and fixed video displays expand in size, consumers demand enhanced visual experiences while watching such displays. Competitive low-end to high-end markets are migrating to high-definition (HD) output displays driven by consumer demand. In order to generate high quality visual experiences on HD displays, video processing algorithms are becoming increasingly complex. Such complex HD algorithms require up to tera-operations per second to generate acceptable HD video output. Silicon Hive's HiveFlex Video VSP1 processor services the needs all low to high end video displays by using a unique scaleable tiled architecture. The architecture of each tile is flexible, low-cost and low-power, resulting in an attractive IP solution targeting consumer video signal processing (VSP) systems on chips (SoCs). The Video VSPI tile presented here performs a variety of video coding algorithms commonly used in post processing of HDTV signals such as H.264 decoding, de-interlacing, picture-rate up-conversion and others. H.264 or MPEG4-AVC is an advanced video coding standard targeting multiple markets such as broadcast and hand-held entertainment. In partnership with Silicon Hive, AllGo Embedded Systems has developed an H.264 decoder that is optimized for the HiveFlex VSP architecture. Multiple VSP tiles with configurable number of issue slots and SIMD architecture are used efficiently to implement H.264 video decoding at HD resolution