1994
DOI: 10.1016/0165-1684(94)90066-3
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On the discrete cosine transform computation

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Cited by 19 publications
(5 citation statements)
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“…18 we present EPE(M ) for optimal adaptive (degree 4) and optimal classic (degree 7) transforms. Again throughout the scale of compression ratios the ACHT 4 is more efficient than CHT 7 .…”
Section: Resultsmentioning
confidence: 95%
“…18 we present EPE(M ) for optimal adaptive (degree 4) and optimal classic (degree 7) transforms. Again throughout the scale of compression ratios the ACHT 4 is more efficient than CHT 7 .…”
Section: Resultsmentioning
confidence: 95%
“…However, the noise reduction principle of the above three image denoising algorithms is to adopt the same noise reduction model for the edge region and the inner region in the image, which will cause the loss of texture feature information while filtering out noises [ 62 ]. The commonly used transform domain methods mainly include Discrete Fourier Transform (DFT) [ 63 ], Fast Fourier Transform (FFT) [ 64 ], Discrete Cosine Transform (DCT) [ 65 ], etc. Different transform domain methods will make each region of the image show different characteristics.…”
Section: The Flow Of Fault Diagnosis Methods For Rotating Machinery U...mentioning
confidence: 99%
“…We evaluated the results for different number of processor cores (2, 4, 8 and 16). The implemented integer forward transform is based on the butterfly method [5] generally applied on macroblocks of size 4 × 4 pixels [20] and often on macroblocks of size 8 × 8 pixels [30] in the high profiles (like High Definition profiles). Figure 7 presents ICT execution results on homogeneous multi-core configurations varying the number of integrated cores as well as the picture format [CIF (Common Intermediate Format), QCIF (Quarte-CIF) and HD].…”
Section: Mpsoc Evaluation and Motivationmentioning
confidence: 99%