| |
|
||||
![]() |
![]() |
||||
|
DCT 2D Forward Discrete Cosine Transform CoreOn this page: Description | Implementation Results | Features | Applications | Block Diagram | Functional Description | Support | Verification | Deliverables The DCT core implements the 2D Forward Cosine Transform. Most of the image/video compression standards (JPEG, MPEGx, H.261, H.263, DV etc) are based on the Discrete Cosine Transform (DCT). The DCT core, able to operate over 8x8 and 16x16 blocks of samples, covers the needs of hardware image/video compression systems in the most efficient manner. Possibly the fastest core in the market, it is able to provide processing rates up to 190 MSamples/sec in FPGA technologies and over 250 MSamples/sec in ASIC technologies. Furthermore, the core allows the designers to perform area/quality trade-offs by adjusting the cosine coefficients and data-path precision. Finally the 2-4-8 DCT transform, as this is specified in the DVC (or DV) standard, can be optionally supported by the DCT core. Comprehensive documentation and a complete verification environment - including a bit-accurate model - help designers integrate and verify the core. The DCT is designed for reuse in ASIC and FPGA implementations. The design is fully synchronous with positive edge clocking and no internal tri-state buffers. See representative implementation results (each in a new pop-up window): FeaturesEase of Integration & Performance
Design Quality
Optional add-on Features
ApplicationsThe DCT core can be utilized for a variety of multimedia applications including:
Block Diagram
Functional Description The forward DCT (DCT) is a transform that converts a signal into its
constituent frequency components as represented by a set of coefficients.
The inverse DCT (IDCT) reconstructs the original signal from its constituent
DCT coefficients. A 2-dimensional array of coefficients results by applying
the DCT to 2-dimensional signals, such as images. The core receives image
samples and outputs DCT coefficients on a block by block basis, where
each block has a size of either 8x8 or 16x16. The core implements the
DCT over the input blocks by performing two 1-dimensional transforms,
using row-column decomposition, as defined by the following formula:
The intermediate results being produced from the first 1-dimensional transform are stored in the “Transpose Memory”. The Transpose Memory is a dual ported RAM capable of storing an entire 8x8 or 16x16 block resulting from applying the first stage of row decomposition. While the Transpose Memory is written in row-major order, the second stage of processing reads data from the Transpose Memory in a column-major order, effectively performing a transposition of the intermediate results. The number of bits used for each intermediate result stored in the Transpose Memory, as well as the number of bits used to represent each of the cosine coefficients, is configurable at synthesis time. This allows the designers to perform their own accuracy versus core area tradeoffs. Furthermore, the bit-width of both input image samples and output DCT coefficients is also configurable at synthesis time. It is noted that the default settings for these synthesis parameters, result to a DCT implementation that satisfy the accuracy criteria of the JPEG standard. The first DCT coefficient of an output block will appear at the output 87 clock cycles after the first image sample of an input block has been fed to the core. SupportThe core as delivered is warranted against defects for ninety days from purchase. Thirty days of phone and email technical support are included, starting with the first interaction. Additional maintenance and support options are available. VerificationThe core has been verified through extensive simulation and rigorous code coverage measurements. Being embedded in numerous of products, the core is silicon proven in both FPGA and ASIC technologies. DeliverablesThe core is available in ASIC (synthesizable HDL) and FPGA (netlist) forms, and includes everything required for successful implementation:
On this page: Description | Implementation Results | Features | Applications | Block Diagram | Functional Description | Support | Verification | Deliverables Download PDF datasheets for more info: ASIC | Altera | Xilinx
|
||||||||||||||||||||
|
top of page |
|||||||||||||||||||||