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Due to the intensive use of the discrete transforms in picture coding, the search for fast and power-efficient approaches for their hardware implementation gains importance. The DTT (Discrete Tchebichef Transform) represents a discrete class of the Chebyshev orthogonal polynomials and it is an alternative for the DCT (Discrete Cosine Transform), commonly used in picture coding. High energy compaction,...
Energy-efficiency is a critical concern for many systems, ranging from Internet of things objects and mobile devices to high-performance computers. Moreover, after 40 years of prosperity, Moore’s law is starting to show its economic and technical limits. Noticing that many circuits are over-engineered and that many applications are error-resilient or require less precision than offered by the existing...
Inexact circuits and approximate computing have been gaining a lot of interest in order to improve performances and energy efficiency beyond the boundaries of conventional digital circuits. Image and video processing is one of the best candidate for applying such techniques. As one of the key building blocks, Discrete Cosine Transform (DCT) accelerators are investigated using pruned arithmetic circuits...
JPEG compression based on the discrete cosine transform (DCT) is a key building block in low-power multimedia applications. We use approximate computing to exploit the error tolerance of JPEG and formulate a novel optimization problem that maximizes power savings under an error budget. We analyze the error propagation sensitivity in the DCT network and use this information to model the impact of introduced...
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