We investigate and compare combined compression-encryption schemes. We assess the respective security, and we show how encryption affects the image coding efficiency. The techniques employ the wavelet-based compression algorithms JPEG2000 and SPIHT, and we randomly permute and rotate blocks of wavelet coefficients in different wavelet-subbands to encrypt image data within the compression pipeline. We identify weak points of the propsed encryption techniques, and possible attacks are highlighted. The investigated methods allow to trade off security for compression performance. The results also have interesting implications with respect to the significance of the zerotree-hypothesis as stated in the context of compression schemes.
In this paper we compare the coding performance of the JPEG2000 still image coding standard with the INTRA coding method used in the H.26L project. We discuss the basic techniques of both coding schemes and show the effect of improved I-frame coding to the overall performance of a H.26L-based system. The coding efficiency as well as the
runtime behaviour is considered in our comparison.
In this paper, we discuss how we can enhance the performance of the MPEG-4 Visual Texture Coding algorithm (VTC). Runtime analysis reveals the major coding stages and shows a weak point within the vertical filtering stage. A useful cache-access strategy is considered, which lifts this problem almost entirely. Additionally, we
perform the DWT and the zerotree coding stage in parallel using OpenMP. The improved sequential version of the vertical filtering improves also the parallel eaciency significantly. We present results from 2 different multiprocessor platforms (SGI Power Challenge: 20 IP25 RISC CPUs, running at 195 Mhz; SGI Origin3800:128 MIPS RISC R12000 CPUs, running at 400MHz).
In this paper, we have a close look at the runtime performance of the intra-component transform employed in the reference implementations of the JPEG2000 image coding standard. Typically, wavelet lifting is used to obtain a wavelet decomposition of the source image in a computationally efficient way. However, so far no attention has been paid to the impact of the CPU's memory cache on the overall performance. We propose two simple techniques that dramatically reduce the number of cache misses and cut column filtering runtime by a factor of 10. Theoretical estimates as well as experimental results on a number of hardware platforms show the effectivity of our approach.
One approach to transformation based compression is the Matching Pursuit Projection (MPP). MPP or variants of it have been suggested for designing image compression and video compression algorithms and have been among the top performing submissions within the MPEG-4 standardization process. In the case of still image coding, the MPP approach has to be paid with an enormous computational complexity. In this work we discuss sequential, as well as parallel speedup techniques of a MPP image coder which is competitive in terms of rate-distortion performance.
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