Wavelet Based Compressive Sensing Techniques for Image Compression
نویسندگان
چکیده
Compressive sensing (CS) exploits the sparsity of the commonly encountered signals and provides the data compression at the first step of the image acquisition. In this paper, performance of various wavelet based CS techniques has been analysed. It is based on the concept that small collections of non-adaptive linear projections of a sparse signal contain enough information for its effective reconstruction using some optimization procedure. Wavelet Transform is widely applied to the domain of CS to obtain the sparse representation of the signals to be compressed. The results of CS techniques prove that the image reconstruction quality obtained by wavelet based CS techniques is better than the practical image compression standards like JPEG.
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