René J. van der Vleuten

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New constructions of trellis waveform coders, trellis-coded quantizers, and trellis-coded vector quantizers are proposed. The performances of the new quantizers are determined for the memoryless Laplacian, Gaussian, and uniform sources. They are better than (for the Gaussian and Laplacian sources) or equal to (for the uniform source) the best previously(More)
We have developed a scalable image compression scheme with a good performance-complexity trade-off. Like JPEG, it is based on the 8 × 8 block discrete cosine transform (DCT), but it uses no additional quantization or entropy coding (such as Huffman or arithmetic coding). Bit-rate or quality scalability is enabled by encoding the DCT coefficients bit plane(More)
There is a continuous pressure to lower the implementation complexity and improve the quality of motion-compensated picture rate conversion methods. Since the concept of hierarchy can be advantageously applied to many motion estimation methods, we have extended and improved the current state-of-the-art motion estimation method in this field, 3-D Recursive(More)
Bandwidth to off-chip memory is a scarce resource in complex systems-on-chip for embedded media processing. We apply embedded compression for bandwidth-hungry image processing functions in order to alleviate this bandwidth bottleneck. In our solution embedded compression is implemented as part of the system-on-chip infrastructure, fully transparent for the(More)
We present a compression scheme that combines the high compression efficiency and low complexity of a dedicated lossless compression scheme with the flexibility of a fine-granularity scalable near-lossless compression scheme. The input image is analyzed and split into two parts: a most significant part that is losslessly compressed and a least significant(More)