1995
DOI: 10.1109/5.364464
|View full text |Cite
|
Sign up to set email alerts
|

JAGUAR: a fully pipelined VLSI architecture for JPEG image compression standard

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
41
0
1

Year Published

2001
2001
2023
2023

Publication Types

Select...
5
3

Relationship

0
8

Authors

Journals

citations
Cited by 99 publications
(42 citation statements)
references
References 27 publications
0
41
0
1
Order By: Relevance
“…Agostini et al [7] propose a 2D-DCT architecture based on the previous work of Kovac et al [8]. The authors decompose the transform in two 1D-DCT calculations with a transpose buffer thanks to the separability property.…”
Section: Related Workmentioning
confidence: 99%
“…Agostini et al [7] propose a 2D-DCT architecture based on the previous work of Kovac et al [8]. The authors decompose the transform in two 1D-DCT calculations with a transpose buffer thanks to the separability property.…”
Section: Related Workmentioning
confidence: 99%
“…The values (½ u l ) and (½ v l ) are calculated just as shown in ( 6), wherefore the same RAC-units as in Figure 2 can be utilized. Instead of a preprocessing unit in the case of the 1D-DCT, here a postprocessing device is needed, which calculates the results x l out of the u l and v l .…”
Section: The Architecture 31 Forward and Inverse Dctmentioning
confidence: 99%
“…The compression results were compared with the output from a software reference encoder 6 , whose compression options were disabled. Except for a slightly different generation scheme of interframes, the functionality of the software encoder was comparable to our application 7 .…”
Section: Performancementioning
confidence: 99%
See 1 more Smart Citation
“…27.3.2) is implemented as a sequence of two 1D-DCTs with a transpose matrix in between. The 1D-DCT is based on the algorithm proposed in [2] and consists of five 15b adder/subtractors and one 15b multiplier. The 2D-DCT output needs to be scaled by a scaling matrix afterwards, but this is performed without extra hardware, as it is incorporated in the quantization by scaling the quantization coefficients in advance.…”
mentioning
confidence: 99%