Abstract
In this paper we have implemented efficient JPEG (Joint Photographic experts group) Decoder on GPU (Graphic Processing Unit) using NVIDIA CUDA (Compute Unified Device Architecture) Technology. This decoder is capable of decoding images of Ultra HD resolution with superfast speed GPU is used to assist the CPU for time consuming tasks. In this paper IDCT module which consumes 70 to 80 percent of computation time is implemented on GPU. An asynchronous parallel execution between the CPU and the GPU is used at a same time to improve the JPEG decoder acceleration rate. In this work, the JPEG decoder based on the CUDA performs decompression of images of size 2560 x 1600 pixels and below. Finally the results are shown with respect to different sized images and consumed time for decoding. The results show that this decoder faster in multiple times than the decoder in CPU. General Terms:
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