Gotowe bibliografie tematyczne / Discrete cosine transforms (DCTs)

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  1. Artykuły w czasopismach
  2. Rozprawy doktorskie
  3. Książki
  4. Części książek
  5. Streszczenia konferencji

Gotowa bibliografia na temat „Discrete cosine transforms (DCTs)”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 5 lutego 2022

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Artykuły w czasopismach na temat "Discrete cosine transforms (DCTs)"

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Rad, Farhad, and Ali Broumandnia. "An Efficient Implementation of the Entire Transforms in the H.264/AVC Encoder using VHDL." International Journal of Reconfigurable and Embedded Systems (IJRES) 2, no. 3 (November 1, 2013): 116. http://dx.doi.org/10.11591/ijres.v2.i3.pp116-121.

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The H.264/AVC standard achieves remarkable higher compression performance than the previous MPEG and H.26X standards. One of the computationally intensive units in the MPEG and H.26X video coding families is the Discrete Cosine Transform (DCT). In this paper, we propose an efficient implementation of the DCT, inverse DCTs and the Hadamard transforms in the H.264/AVC encoder using VHDL. The synthesis results indicate that our implementation of the entire transforms achieves lower power, delay and area consumption compared to the existing architectures in the H.264/AVC encoder.
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Kim, Donyeon. "Fast algorithm for discrete cosine transform (DCT)-domain image downsampling using Winograd DCTs." Optical Engineering 42, no. 9 (September 1, 2003): 2485. http://dx.doi.org/10.1117/1.1599842.

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Tsai, S. E., and S. M. Yang. "A Fast DCT Algorithm for Watermarking in Digital Signal Processor." Mathematical Problems in Engineering 2017 (2017): 1–7. http://dx.doi.org/10.1155/2017/7401845.

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Discrete cosine transform (DCT) has been an international standard in Joint Photographic Experts Group (JPEG) format to reduce the blocking effect in digital image compression. This paper proposes a fast discrete cosine transform (FDCT) algorithm that utilizes the energy compactness and matrix sparseness properties in frequency domain to achieve higher computation performance. For a JPEG image of8×8block size in spatial domain, the algorithm decomposes the two-dimensional (2D) DCT into one pair of one-dimensional (1D) DCTs with transform computation in only 24 multiplications. The 2D spatial d
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Kliuchenia, V. V. "Design of a discrete сosine transformation processor for image compression systems on a losless-to-lossy circuit". Doklady BGUIR 19, № 3 (2 червня 2021): 5–13. http://dx.doi.org/10.35596/1729-7648-2021-19-3-5-13.

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Today, mobile multimedia systems that use the H.261 / 3/4/5, MPEG-1/2/4 and JPEG standards for encoding / decoding video, audio and images are widely spread [1–4]. The core of these standards is the discrete cosine transform (DCT) of I, II, III ... VIII types [DCT]. Wide support in a huge number of multimedia applications of the JPEG format by circuitry and software solutions and the need for image coding according to the L2L scheme determines the relevance of the problem of creating a decorrelated transformation based on DCT and methods for rapid prototyping of processors for computing an int
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Jang, Ju-wook, Chang-hyeon Lim, Ronald Scrofano, and Viktor K. Prasanna. "Energy-Efficient Discrete Cosine Transform on FPGAs." KIPS Transactions:PartA 12A, no. 4 (August 1, 2005): 313–20. http://dx.doi.org/10.3745/kipsta.2005.12a.4.313.

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Hayati, Raisah, and Rahmadi Kurnia. "Simulasi Unjuk Kerja Discrete Wavelet Transform (DWT) dan Discrete Cosine Transform (DCT) untuk Pengolahan Sinyal Radar di Daerah yang Ber-Noise Tinggi." Jurnal Nasional Teknik Elektro 3, no. 1 (March 1, 2014): 32–43. http://dx.doi.org/10.20449/jnte.v3i1.53.

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R., Ononiwu, and Okengwu U. "Efficient Steganography on Video File using Discrete Cosine Transform Method (DCTM)." International Journal of Computer Applications 176, no. 11 (April 15, 2020): 22–28. http://dx.doi.org/10.5120/ijca2020920051.

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Bouguezel, Saad, M. Omair Ahmad, and M. N. S. Swamy. "Binary Discrete Cosine and Hartley Transforms." IEEE Transactions on Circuits and Systems I: Regular Papers 60, no. 4 (April 2013): 989–1002. http://dx.doi.org/10.1109/tcsi.2012.2224751.

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Domínguez-Jiménez, María Elena, David Luengo, and Gabriela Sansigre-Vidal. "Estimation of Symmetric Channels for Discrete Cosine Transform Type-I Multicarrier Systems: A Compressed Sensing Approach." Scientific World Journal 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/151370.

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The problem of channel estimation for multicarrier communications is addressed. We focus on systems employing the Discrete Cosine Transform Type-I (DCT1) even at both the transmitter and the receiver, presenting an algorithm which achieves an accurate estimation of symmetric channel filters using only a small number of training symbols. The solution is obtained by using either matrix inversion or compressed sensing algorithms. We provide the theoretical results which guarantee the validity of the proposed technique for the DCT1. Numerical simulations illustrate the good behaviour of the propos
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Domínguez-Jiménez, María Elena. "Full spark of even discrete cosine transforms." Signal Processing 176 (November 2020): 107632. http://dx.doi.org/10.1016/j.sigpro.2020.107632.

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Rozprawy doktorskie na temat "Discrete cosine transforms (DCTs)"

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Akhtar, Mahmood Electrical Engineering &amp Telecommunications Faculty of Engineering UNSW. "Genomic sequence processing: gene finding in eukaryotes." Publisher:University of New South Wales. Electrical Engineering & Telecommunications, 2008. http://handle.unsw.edu.au/1959.4/40912.

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Of the many existing eukaryotic gene finding software programs, none are able to guarantee accurate identification of genomic protein coding regions and other biological signals central to pathway from DNA to the protein. Eukaryotic gene finding is difficult mainly due to noncontiguous and non-continuous nature of genes. Existing approaches are heavily dependent on the compositional statistics of the sequences they learn from and are not equally suitable for all types of sequences. This thesis firstly develops efficient digital signal processing-based methods for the identification of genomic
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Ahmed, Kamal Ali. "Digital watermarking of still images." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/digital-watermarking-of-still-images(0dc4b146-3d97-458f-9506-8c67bc3a155b).html.

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This thesis presents novel research work on copyright protection of grey scale and colour digital images. New blind frequency domain watermarking algorithms using one dimensional and two dimensional Walsh coding were developed. Handwritten signatures and mobile phone numbers were used in this project as watermarks. In this research eight algorithms were developed based on the DCT using 1D and 2D Walsh coding. These algorithms used the low frequency coefficients of the 8 × 8 DCT blocks for embedding. A shuffle process was used in the watermarking algorithms to increase the robustness against th
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Muller, Rikus. "Applying the MDCT to image compression." Thesis, Stellenbosch : University of Stellenbosch, 2009. http://hdl.handle.net/10019.1/1197.

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Thesis (DSc (Mathematical Sciences. Applied Mathematics))--University of Stellenbosch, 2009.<br>The replacement of the standard discrete cosine transform (DCT) of JPEG with the windowed modifed DCT (MDCT) is investigated to determine whether improvements in numerical quality can be achieved. To this end, we employ an existing algorithm for optimal quantisation, for which we also propose improvements. This involves the modelling and prediction of quantisation tables to initialise the algorithm, a strategy that is also thoroughly tested. Furthermore, the effects of various window functions
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Hantehzadeh, Neda. "3-D Face Recognition using the Discrete Cosine Transform (DCT)." Available to subscribers only, 2009. http://proquest.umi.com/pqdweb?did=1964658571&sid=3&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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Haque, S. M. Rafizul. "Singular Value Decomposition and Discrete Cosine Transform based Image Watermarking." Thesis, Blekinge Tekniska Högskola, Avdelningen för för interaktion och systemdesign, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5269.

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Rapid evolution of digital technology has improved the ease of access to digital information enabling reliable, faster and efficient storage, transfer and processing of digital data. It also leads to the consequence of making the illegal production and redistribution of digital media easy and undetectable. Hence, the risk of copyright violation of multimedia data has increased due to the enormous growth of computer networks that provides fast and error free transmission of any unauthorized duplicate and possibly manipulated copy of multimedia information. One possible solution may be to embed
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Pagliari, Carla Liberal. "Perspective-view image matching in the DCT domain." Thesis, University of Essex, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.298594.

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Bhardwaj, Divya Anshu. "Inverse Discrete Cosine Transform by Bit Parallel Implementation and Power Comparision." Thesis, Linköping University, Department of Electrical Engineering, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2447.

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<p>The goal of this project was to implement and compare Invere Discrete Cosine Transform using three methods i.e. by bit parallel, digit serial and bit serial. This application describes a one dimensional Discrete Cosine Transform by bit prallel method and has been implemented by 0.35 ìm technology. When implementing a design, there are several considerations like word length etc. were taken into account. The code was implemented using WHDL and some of the calculations were done in MATLAB. The VHDL code was the synthesized using Design Analyzer of Synopsis; power was calculated and the result
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Faridi, Imran Zafar. "Image Compression Using Bidirectional DCT to Remove Blocking Artifacts." Digital Archive @ GSU, 2005. http://digitalarchive.gsu.edu/cs_theses/9.

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Discrete Cosine Transform (DCT) is widely used transform in many areas of the current information age. It is used in signal compression such as voice recognition, shape recognition and also in FBI finger prints. DCT is the standard compression system used in JPEG format. The DCT quality deteriorates at low-bit compression rate. The deterioration is due to the blocking artifact inherent in block DCT. One of the successful attempts to reduce these blocking artifacts was conversion of Block-DCT into Line-DCT. In this thesis we will explore the Line-DCT and introduce a new form of line-DCT called
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Martucci, Stephen A. "Symmetric convolution and the discrete sine and cosine transforms : principles and applications." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/15038.

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Al-Gindy, Ahmed M. N. "Design and analysis of Discrete Cosine Transform-based watermarking algorithms for digital images. Development and evaluation of blind Discrete Cosine Transform-based watermarking algorithms for copyright protection of digital images using handwritten signatures and mobile phone numbers." Thesis, University of Bradford, 2011. http://hdl.handle.net/10454/5450.

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This thesis deals with the development and evaluation of blind discrete cosine transform-based watermarking algorithms for copyright protection of digital still images using handwritten signatures and mobile phone numbers. The new algorithms take into account the perceptual capacity of each low frequency coefficients inside the Discrete Cosine Transform (DCT) blocks before embedding the watermark information. They are suitable for grey-scale and colour images. Handwritten signatures are used instead of pseudo random numbers. The watermark is inserted in the green channel of the RGB colour imag
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Książki na temat "Discrete cosine transforms (DCTs)"

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C, Yip P., and Rao K. Ramamohan, eds. Discrete Cosine and Sine Transforms: General Properties, Fast Algorithms and Integer Approximations. Amsterdam: Academic Press, 2006.

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Britanak, Vladimir. Discrete cosine and sine transforms: General properties, fast algorithms and integer approximations. Amsterdam: Academic, 2007.

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Discrete Cosine and Sine Transforms. Elsevier, 2007. http://dx.doi.org/10.1016/b978-0-12-373624-6.x5000-0.

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Britanak, Vladimir, Patrick C. Yip, and K. R. Rao. Discrete Cosine and Sine Transforms: General Properties, Fast Algorithms and Integer Approximations. Academic Press, 2006.

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Britanak, Vladimir, Patrick C. Yip, and K. R. Rao. Discrete Cosine and Sine Transforms: General Properties, Fast Algorithms and Integer Approximations. Academic Press, 2006.

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Części książek na temat "Discrete cosine transforms (DCTs)"

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Jerri, Abdul J. "The Discrete Sine (DST) and Cosine (DCT) Transforms for Boundary Value Problems." In Linear Difference Equations with Discrete Transform Methods, 329–53. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-5657-9_5.

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Burger, Wilhelm, and Mark James Burge. "The Discrete Cosine Transform DCT." In Principles of Digital Image Processing, 1–8. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84800-195-4_9.

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Burger, Wilhelm, and Mark J. Burge. "The Discrete Cosine Transform (DCT)." In Texts in Computer Science, 503–11. London: Springer London, 2016. http://dx.doi.org/10.1007/978-1-4471-6684-9_20.

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Thanki, Rohit M., Vedvyas J. Dwivedi, and Komal R. Borisagar. "Multibiometric Watermarking Technique Using Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT)." In Multibiometric Watermarking with Compressive Sensing Theory, 91–113. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73183-4_5.

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Thanki, Rohit M., Vedvyas J. Dwivedi, and Komal R. Borisagar. "Multibiometric Watermarking Technique Using Fast Discrete Curvelet Transform (FDCuT) and Discrete Cosine Transform (DCT)." In Multibiometric Watermarking with Compressive Sensing Theory, 137–60. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73183-4_7.

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Fu, Jingjing, and Bing Zeng. "Diagonal Discrete Cosine Transforms for Image Coding." In Advances in Multimedia Information Processing - PCM 2006, 150–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11922162_18.

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Lim, Hyesook. "Multidimensional Systolic Arrays for Computing Discrete Fourier Transforms and Discrete Cosine Transforms." In The Kluwer International Series in Engineering and Computer Science, 161–95. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4613-1457-8_6.

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Mahale, Vivek, Mouad M. H. Ali, Pravin L. Yannawar, and Ashok Gaikwad. "Analysis of Image Inconsistency Based on Discrete Cosine Transform (DCT)." In Information and Communication Technology for Intelligent Systems, 563–71. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1742-2_56.

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Bi, Guoan, and Yonghong Zeng. "Fast Algorithms for 1D Discrete Cosine Transform." In Transforms and Fast Algorithms for Signal Analysis and Representations, 207–45. Boston, MA: Birkhäuser Boston, 2004. http://dx.doi.org/10.1007/978-0-8176-8220-0_6.

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Bi, Guoan, and Yonghong Zeng. "Fast Algorithms for MD Discrete Cosine Transform." In Transforms and Fast Algorithms for Signal Analysis and Representations, 247–320. Boston, MA: Birkhäuser Boston, 2004. http://dx.doi.org/10.1007/978-0-8176-8220-0_7.

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Streszczenia konferencji na temat "Discrete cosine transforms (DCTs)"

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Hussein, Adel, Adnan Suleiman, Nabil Kerkiz, and David Akopian. "Scalable interconnect networks for Discrete Cosine Transforms (DCT) for mobile and multimedia application." In 2010 53rd IEEE International Midwest Symposium on Circuits and Systems (MWSCAS). IEEE, 2010. http://dx.doi.org/10.1109/mwscas.2010.5548713.

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Lebowsky, Fritz. "Optimizing color fidelity in wide gamut display devices when processing images compressed by block-based discrete cosine transforms (DCT)." In IS&T/SPIE Electronic Imaging. SPIE, 2012. http://dx.doi.org/10.1117/12.909856.

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Huang, Yunming G., and Howard M. Dreizen. "Prioritized DCT (discrete cosine transform) image coding." In Midwest - DL tentative, edited by Rudolph P. Guzik, Hans E. Eppinger, Richard E. Gillespie, Mary K. Dubiel, and James E. Pearson. SPIE, 1991. http://dx.doi.org/10.1117/12.25864.

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Zhechev, Bozhan. "The discrete cosine transform DCT-4 and DCT-8." In the 4th international conference conference. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/973620.973663.

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Gong, Xuecheng, and Wanggen Li. "A Color Image Blind Digital Watermarking Algorithm Based on QR Code." In 8th International Conference on Computer Science and Information Technology (CoSIT 2021). AIRCC Publishing Corporation, 2021. http://dx.doi.org/10.5121/csit.2021.110405.

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With the rapid development of network technology and multimedia, the current color image digital watermarking algorithm has the problems of small capacity and poor robustness. In order to improve the capacity and anti-attack ability of digital watermarking. A color image blind digital watermarking algorithm based on QR code is proposed. The algorithm combines Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT). First, the color image was converted from RGB space to YCbCr space, and the Y component was extracted and the second-level discrete wavelet transform is performed; seco
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Alluru, Mandeep, In Soo Ahn, and Yufeng Lu. "Discrete cosine transform(DCT)-based reconfigurable system design." In 2011 IEEE International Conference on Electro/Information Technology (EIT 2011). IEEE, 2011. http://dx.doi.org/10.1109/eit.2011.5978631.

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Bhamidipati, Veerabhadra S., and Artyom M. Grigoryan. "Parameterized reversible integer discrete cosine transforms." In Electronic Imaging 2004, edited by Edward R. Dougherty, Jaakko T. Astola, and Karen O. Egiazarian. SPIE, 2004. http://dx.doi.org/10.1117/12.525733.

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Ratnakar, Viresh, Ephraim Feig, Eric Viscito, and Sudhakar Kalluri. "Runlength encoding of quantized discrete cosine transform (DCT) coefficients." In IS&T/SPIE's Symposium on Electronic Imaging: Science & Technology, edited by Arturo A. Rodriguez, Robert J. Safranek, and Edward J. Delp. SPIE, 1995. http://dx.doi.org/10.1117/12.206376.

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Ichita, Tomohiro, Seisuke Kyochi, Taizo Suzuki, and Yuichi Tanaka. "Directional discrete cosine transforms arising from discrete cosine and sine transforms for directional block-wise image representation." In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2017. http://dx.doi.org/10.1109/icassp.2017.7953015.

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Fu, Jingling, and Bing Zeng. "Directional Discrete Cosine Transforms: A Theoretical Analysis." In 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07. IEEE, 2007. http://dx.doi.org/10.1109/icassp.2007.366105.

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