![]() Today, with the advent of graphics processors such as the TITAN and GEFORCE series of graphics processors from NVIDIA (Santa Clara, CA, USA that contain hundreds of processor cores, image compression can be performed much faster (Figure 1). In the past, JPEG image compression was performed on either host PCs or digital signal processors (DSPs). ![]() However, since the baseline JPEG standard can achieve 15:1 compression with little perceptible loss in image quality, such image compression is acceptable in many image storage and transmission systems.įigure 1:With 1536 CUDA cores (processors) and a 1GHz base clock rate, the GeForce GTX 680 from NVIDIA can JPEG-encode raw Bayer data camera images at a rate of 500Million pixels/s. ![]() Originally developed by the Joint Photographic Experts Group (JPEG ), a working group of both the International Standardization Organization (ISO, Geneva, Switzerland and the International Electrotechnical Commission (IEC, Geneva, Switzerland the baseline JPEG standard is a lossy form of compression based on the discrete cosine transform (DCT).Īlthough a lossless-version of the standard does exist, it has not been widely adopted. While many different methods exist to perform such image compression, perhaps the most well-known and well-adopted of these is the baseline JPEG standard. ![]() Image compression plays a vitally important part in many imaging systems by reducing the amount of data needed to store and/or transmit image data. The CUDA parallel computing platform and application programming interface (API) allows fast JPEG image compression on GPUs. ![]()
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