Abstract
In this paper, we report a hardware implementation scheme and results of a Loeffler algorithm based 2-D discrete cosine transformcodec. This codec performs a full 2-D DCT encoding and 2-D IDCT decoding. It is fully functional, capable of being used in anyhardware coding algorithm. The Loeffler algorithm is one of the newest and most effective fast DCT algorithms for hardwareimplementation. 2-D DCT/IDCT was computed by applying 1-D operations on matrix using a row/column approach. For a hardwareimplementation, additional data buffers and control logic is used to perform 2-D transforms. Since hardware implementation is lessaccurate than mathematical modelling, more errors occur in the computational results. However, differences are small and cannot bedirectly observed. Ill. 6, bibl. 10, tabl. 3 (in English; abstracts in English and Lithuanian). http://dx.doi.org/10.5755/j01.eee.113.7.611
Highlights
Digital picture and video applications are becoming a inseparable part of our everyday lives
This paper focuses on the fast Loeffler algorithm and it's hardware applications
This property, known as separability, has the advantage that 2D discrete cosine transform (DCT) can be computed in two steps by successive 1-D operations on rows and columns
Summary
Digital picture and video applications are becoming a inseparable part of our everyday lives. Still image and video devices such as cell phones and cameras rely on codecs (coders and decoders) for image coding, processing and compression. These codecs must meet the evergrowing demands for power dissipation and operation speed. The most popular standards of compression are JPEG for image, MPEG-1, 2, 4 and H263 for video [1] All of these standards use the discrete cosine transform (DCT) and the inverse discrete cosine transform (IDCT) as a basis of their operation. The IDCT incurs the largest computational cost in the decoder The complexity of these systems leads to large power dissipation and a fast, lossless yet energy efficient hardware codec is required. This paper focuses on the fast Loeffler algorithm and it's hardware applications
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