“…6,9,10 The acceleration aims at the computationally most expensive operations, including statistical image analysis, 10 image feature extraction, 6,9,10 classifier training, 7,10 and error correction. 8 It takes advantage of the fact that steganographic primitives such as convolution 9 are, to a large extent, data parallel and suitable for an efficient execution on data-parallel devices, including accelerators and graphic processing units (GPUs). Their high-performance parallel implementations have been shown to yield a speedup of one to three orders of magnitude.…”