Using M-Transformation to Improve Performance of DCT Zonal Coding

Morikawa, Yoshitaka; Yamane, Nobumoto; Hamada, Hiroshi

doi:10.1117/12.970153

Cited by 3 publications

(4 citation statements)

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“…Some microorganisms were isolated from hydrocarbon-contaminated soils such as Rhodococcus [41,49,501, BucilIus pumilus [4], Arthrobacter sp. strain MIS38 [51]. Others were isolated from contaminated fuels such as Ochrobactrum anthropii [52] and from oceanic oil spillage such as Pseudomonas aeruginosa [53].…”

Section: Biosurfactant-producing Microbial Culturesmentioning

confidence: 99%

Characterization of biosurfactants and their use in pollution removal – State of the Art. (Review)

Banat

1995

Acta Biotechnologica

179

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Surface-active compounds of biological origin (biosurfactants) have only been described in the past few decades. With the advantage of biodegradability and production on renewable resources, biosurfactants have been gaining prominence and their applications are becoming wider. So far, litenture contains mixed reports on the successes of the applications of biosurfactants and their economical viability. They remain compounds which are not.very well understood, yet, with several important applications. The target industries for biosurfactant use are the petroleum remediation industries and environmental conservation agencies. These industries, however, Seem reluctant to use them for fear of dealing with microbes or microbial products. This includes cleaning up oil spills from the environment, remediation of metal-contaminated soils or waste streams, mobilizing heavy oil sludge and enhanced oil recovery. The importance of biosurfactants, their production, characteristics and limited successes and applications in oil pollution remediation and oil storage tank cleaning are discussed.

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Section: Biosurfactant-producing Microbial Culturesmentioning

confidence: 99%

Characterization of biosurfactants and their use in pollution removal – State of the Art. (Review)

Banat

1995

Acta Biotechnologica

179

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“…(7b). Consequently, (9) Assuming that w( n) 4 h( -n) =f( n) and the same window function is employed in the analyzdsynthesizer, Eqs. (8) to (10) are rewritten as follows:…”

Section: H(n ) F ( N) + H(n -K ) F ( N + K ) = Lmentioning

confidence: 99%

“…The number of additions A, and the number of multiplications M , in the DCT algorithm of transform length K are given as follows [9]:…”

Section: Computational Complexitymentioning

confidence: 99%

“…This coding is caIled the overlapping block DCT (OBDCT). et al for DCT of ordinary type [9], includes the final stage where a trigonometric function is multiplied. If this multiplication process and the window weighting process in the proposed synthesizer are combined and simplified, the total number of multiplications can be reduced for the synthesizer.…”

Section: Introductionmentioning

confidence: 99%

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Overlapping block discrete cosine transform coding and its fast algorithm

Sawami

Morikawa

Hamada

1992

Electron. Comm. Jpn. Pt. I

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The discrete cosine transform ( D W method is well known for a highly efficient coding for still images.A problem in this method is that the block distortion is observed in low-rate coding. The overlapping block transform (OBT) has recently been proposed, aiming at the reduction of the block distortion. OBT is derived as a frequency analyzedsynthesizer with the origin of the spatial coordinate at the mid-point between the sampling points and the main processing operation results in a DCT of unordinary type. This increases the computational complexity compared to the ordinary DCT.From such a viewpoint, this paper first derives the overlapping block DCT (OBDCI') with the same main processing as that of the ordinary DCT, by placing the origin of the spatial coordinate at the sampling point.OBDCT has the same coding efficiency as that of the traditional OBT, and OBDCT with the transform length 8 has the same coding efficiency as that of DCT with the transform length 16. A fast OBDCT algorithm is derived by integrating and simplifying the proposed OBDCT and the transform processing. Finally, it is shown that the fast OBDCT with the forementioned transform length can be executed by 55 percent of multiplications of the fast OBT and 67 percent of the fast DCT. Key words: Frequency analysis/synthesis; overlapping block transform; discrete cosine transform; lapped orthogonal transform; fast algorithm; image data compression; transform coding; subband/transform coding. Recently, to overcome those problems, Malvar and Staelin [4] proposed the lapped orthogonal transform (LOT), where an appropriate orthogonal transformation is applied to DCT coefficients of adjacent blocks. Princen et al. [S] and Schiller [6] proposed the overlapping block transform (OBT) which is derived as a frequency analyzer/synthesizer. In those transform methods, 59 1SSN8756-6621/92/OOO4-oO~9$7.50/0 1992 Scripta Technica, Inc.

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Multidimensional rotations for robust quantization of image data

Hung¹,

Meng²

1998

IEEE Trans. on Image Process.

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Laplacian and generalized Gaussian data arise in the transform and subband coding of images. This paper describes a method of rotating independent, identically distributed (i.i.d.) Laplacian-like data in multiple dimensions to significantly improve the overload characteristics for quantization. The rotation is motivated by the geometry of the Laplacian probability distribution, and can be achieved with only additions and subtractions using a Walsh-Hadamard transform. Its theoretical and simulated results for scalar, lattice, and polar quantization are presented in this paper, followed by a direct application to image compression. We show that rotating the image data before quantization not only improves compression performance, but also increases robustness to the channel noise and deep fades often encountered in wireless communication.

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Using M-Transformation to Improve Performance of DCT Zonal Coding

Cited by 3 publications

References 0 publications

Characterization of biosurfactants and their use in pollution removal – State of the Art. (Review)

Characterization of biosurfactants and their use in pollution removal – State of the Art. (Review)

Overlapping block discrete cosine transform coding and its fast algorithm

Multidimensional rotations for robust quantization of image data

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