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Capabilities | Super Resolution
The Problem Most intelligence, surveillance and reconaissance platforms rely on relatively low resolution NTSC and PAL imagers, due to the contraints of the datalinks used in today's aerial and remote sensing platforms. This results in EO and IR imagery that is OK when looking for large scale movement or monitoring a large area, but poor for trying to identify items like license plates, registration numbers, or smaller shapes. The Solution By using multiple frames of video that contain the same objects, 2d3 can create new frames of information that are effectively higher resolution.
libjpeg - turbo is a derivative of libjpeg that uses SIMD instructions (MMX, SSE2, NEON) to accelerate baseline JPEG compression and decompression on x86, x86-64, and ARM systems. On such systems, libjpeg - turbo is generally 2-4x as fast as the unmodified version of libjpeg, all else being equal. libjpeg - turbo was originally based on libjpeg/SIMD by Miyasaka Masaru, but the TigerVNC and VirtualGL projects made numerous enhancements to the codec in 2009, including improved support for Mac OS X, 64-bit support, support for 32-bit and big-endian pixel formats (RGBX, XBGR, etc.), accelerated Huffman encoding/decoding, and various bug fixes. The goal was to produce a fully open-source codec that could replace the partially closed-source TurboJPEG/IPP codec used by VirtualGL and TurboVNC. libjpeg - turbo generally achieves 80-120% of the performance of TurboJPEG/IPP. It is faster in some areas but slower in others.
libjpeg-turbo | Main / libjpeg-turbo