Relevant bibliographies by topics / Haar Transform

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Haar Transform'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Haar Transform"

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Liu, Guibo, Dazu Huang, Dayong Luo, Wang Lei, Ying Guo, and Moonho Lee. "Fast Jacket-Haar Transform with Any Size." Mathematical Problems in Engineering 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/628642.

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Jacket-Haar transform has been recently generalized from Haar transform and Jacket transform, but, unfortunately, it is not available in a case where the lengthNis not a power of 2. In this paper, we have proposed an arbitrary-length Jacket-Haar transform which can be conveniently constructed from the 2-point generalized Haar transforms with the fast algorithm, and thus it can be constructed with any sizes. Moreover, it can be further extended with elegant structures, which result in the fast algorithms for decomposing. We show that this approach can be practically applied for the electrocardi
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Király, Balázs. "Generalized Haar–Fourier transform." Annales Universitatis Scientiarum Budapestinensis de Rolando Eötvös Nominatae. Sectio computatorica, no. 37 (2012): 239–46. https://doi.org/10.71352/ac.37.239.

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We give a new generalization for Haar functions. The generalization starts from the Walsh-like functions and based on the connection between the original Walsh and Haar systems. We generalize the Haar–Fourier Transform too.
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Zeelan Basha, CMAK, K. M. Sricharan, Ch Krishna Dheeraj, and R. Ramya Sri. "A Study on Wavelet Transform Using Image Analysis." International Journal of Engineering & Technology 7, no. 2.32 (2018): 94. http://dx.doi.org/10.14419/ijet.v7i2.32.13535.

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The wavelet transforms have been in use for variety of applications. It is widely being used in signal analysis and image analysis. There have been lot of wavelet transforms for compression, decomposition and reconstruction of images. Out of many transforms Haar wavelet transform is the most computationally feasible wavelet transform to implement. The wave analysis technique has an understandable impact on the removal of noise within the signal. The paper outlines the principles and performance of wavelets in image analysis. Compression performance and decomposition of images into different la
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Kaiser, G. "The fast Haar transform." IEEE Potentials 17, no. 2 (1998): 34–37. http://dx.doi.org/10.1109/45.666645.

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Burns, Thomas J. "Optical Haar wavelet transform." Optical Engineering 31, no. 9 (1992): 1852. http://dx.doi.org/10.1117/12.59917.

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Seidel, Henrique, Morgana Da Rosa, Guilherme Paim, Eduardo Costa, Sergio Almeida, and Sergio Bampi. "Exploring Multi-Level Composition and Efficient MCM Schemes for an Energy-Efficient Wavelet Haar Architecture." Journal of Integrated Circuits and Systems 16, no. 2 (2021): 1–9. http://dx.doi.org/10.29292/jics.v16i2.242.

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This work explores multi-level fixed-point Haar transform compositions combined with MCM (multiple constant multiplication) schemes for an energy-efficient hardware architecture. We investigate a set of six lower-level Haar transforms for composing a Haar-9 architecture. The multiple-level Haar transforms use as a base M=1, M=2, and M=3 resolution levels. The processing module (PM) of the Haar explores efficient MCM schemes. The architectures were described in VHDL and synthesized employing the ST 65nm CMOS cell library. The results show that Haar-II architecture presents the lower circuit are
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Camelo, Andres Felipe, Carlos Alberto Ramírez, and José Rodrigo González. "Function Representation in Hilbert Spaces Using Haar Wavelet Series." Statistics, Optimization & Information Computing 13, no. 6 (2025): 2477–86. https://doi.org/10.19139/soic-2310-5070-2288.

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This work explores the application of integral transforms using Scale and Haar wavelet functions to numerically represent a function \( f(t) \). It is based on defining a vector space where any function can be represented as a linear combination of orthogonal basis functions. In this case, the Haar wavelet transform is used, employing Haar functions generated from Scale functions. First, the fundamental mathematical concepts such as Hilbert spaces and orthogonality, necessary for understanding the Haar wavelet transform, are presented. Then, the construction of the Scale and Haar wavelet funct
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Geetika Agotra and Prof. Manish Kumar Singhal. "A Review of Image Denoising Using Fuzzy and Wiener Filters in the Wavelet Domain." International Journal of Scientific Research in Science and Technology 11, no. 5 (2024): 143–49. http://dx.doi.org/10.32628/ijsrst2411430.

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This paper focuses on image denoising using fuzzy wavelet domain transforms, reviewing recent advancements in this area. Wavelet transforms have become a powerful tool in image denoising, with one of the most widely used techniques involving thresholding wavelet coefficients. The paper proposes a hybrid denoising method that combines the wavelet transform, median filtering, and nonlinear diffusion. Additionally, a novel fuzzy filter is introduced to reduce additive noise in digital color images. Two distinct image denoising techniques are discussed: the first employs an Asymmetrical Triangular
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Shehab Ahmed, Mohannad Abid, Haithem Abd Al-Raheem Taha, and Musab Tahseen Salah Aldeen. "Image Compression using Haar and Modified Haar Wavelet Transform." Tikrit Journal of Engineering Sciences 18, no. 2 (2011): 88–101. http://dx.doi.org/10.25130/tjes.18.2.08.

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Efficient image compression approaches can provide the best solutions to the recent growth of the data intensive and multimedia based applications. As presented in many papers the Haar matrix–based methods and wavelet analysis can be used in various areas of image processing such as edge detection, preserving, smoothing or filtering. In this paper, color image compression analysis and synthesis based on Haar and modified Haar is presented. The standard Haar wavelet transformation with N=2 is composed of a sequence of low-pass and high-pass filters, known as a filter bank, the vertical and hori
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Balsa, Jose. "Comparison of Image Compressions: Analog Transformations." Proceedings 54, no. 1 (2020): 37. http://dx.doi.org/10.3390/proceedings2020054037.

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A comparison between the four most used transforms, the discrete Fourier transform (DFT), discrete cosine transform (DCT), the Walsh–Hadamard transform (WHT) and the Haar-wavelet transform (DWT), for the transmission of analog images, varying their compression and comparing their quality, is presented. Additionally, performance tests are done for different levels of white Gaussian additive noise.
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Dissertations / Theses on the topic "Haar Transform"

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Cabral, Guilherme Marieiro. "All optical Haar transform based on planar waveguides." Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/18515.

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Mestrado em Engenharia Electrónica e Telecomunicações<br>Com o constante evoluir das necessidades do ser humano nos últimos anos, a transmissão e armazenamento de dados para aplicações vídeo e media têm crescido exponencialmente, obrigando a uma procura incessante de novas soluções para optimizar a largura de banda. Com a finalidade de obter um processamento de imagem mais rápido, os métodos de compressão são uma importante ferramenta para reduzir os dados redundantes. Entre diversas técnicas de transformação para compressão, as transformadas baseadas em wavelets são as mais usadas devi
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Andhavarapu, Sarat Kiran. "Image Blur Detection with Two-Dimensional Haar Wavelet Transform." DigitalCommons@USU, 2015. https://digitalcommons.usu.edu/etd/4443.

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Efficient detection of image blur and its extent is an open research problem in computer vision. Image blur has a negative impact on image quality. Blur is introduced into images due to various factors including limited contrast, improper exposure time or unstable device handling. Toward this end, an algorithm is presented for image blur detection with the use of Two-Dimensional Haar Wavelet transform (2D HWT). The algorithm is experimentally compared with two other image blur detection algorithms frequently cited in the literature. When evaluated over a sample of images, the algorithm perform
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Fernandes, João Diogo Victor. "Haar transform based on a 2 x 2 multimode interferometer." Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/21291.

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Mestrado em Engenharia Eletrónica e Telecomunicaões<br>Com o crescimento de novos dispositivos fot onicos resultantes da jun c~ao da electr onica e optica, surgiram novas areas de estudo. A fot onica integrada e uma dessas areas e refere-se ao fabrico e implementa c~ao de v arios componentes fot onicos num substrato plano comum. De forma a obter um processamento de imagem superior, os m etodos de compress~ao s~ao uma ferramenta fundamental, da qual a transformada de Haar e a mais importante devido a sua facilidade de implementa c~ao e r apida computa c~ao. Este m etodo pode ser alc
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Idrees, Zunera, and Eliza Hashemiaghjekandi. "Image Compression by Using Haar Wavelet Transform and Singualr Value Decomposition." Thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-11467.

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The rise in digital technology has also rose the use of digital images. The digital imagesrequire much storage space. The compression techniques are used to compress the dataso that it takes up less storage space. In this regard wavelets play important role. Inthis thesis, we studied the Haar wavelet system, which is a complete orthonormal systemin L2(R): This system consists of the functions j the father wavelet, and y the motherwavelet. The Haar wavelet transformation is an example of multiresolution analysis. Ourpurpose is to use the Haar wavelet basis to compress an image data. The method
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Brannock, Evelyn. "Using the discrete wavelet transform to Haar'd code a blind digital watermark." Atlanta, Ga. : Georgia State University, 2009. http://digitalarchive.gsu.edu/cs_diss/35/.

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Thesis (Ph. D.)--Georgia State University, 2009.<br>Title from title page (Digital Archive@GSU, viewed July 20, 2010) Michael Weeks, committee chair; Saeid Belkasim, Robert Harrison, Ephraim McLean, committee members. Includes bibliographical references (p. 145-153).
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Alnasser, Mais. "PHASE-SHIFTING HAAR WAVELETS FOR IMAGE-BASED RENDERING APPLICATIONS." Doctoral diss., University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4181.

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In this thesis, we establish the underlying research background necessary for tackling the problem of phase-shifting in the wavelet transform domain. Solving this problem is the key to reducing the redundancy and huge storage requirement in Image-Based Rendering (IBR) applications, which utilize wavelets. Image-based methods for rendering of dynamic glossy objects do not truly scale to all possible frequencies and high sampling rates without trading storage, glossiness, or computational time, while varying both lighting and viewpoint. This is due to the fact that current approaches are limited
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Sazish, Abdul Naser. "Efficient architectures and power modelling of multiresolution analysis algorithms on FPGA." Thesis, Brunel University, 2011. http://bura.brunel.ac.uk/handle/2438/6290.

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In the past two decades, there has been huge amount of interest in Multiresolution Analysis Algorithms (MAAs) and their applications. Processing some of their applications such as medical imaging are computationally intensive, power hungry and requires large amount of memory which cause a high demand for efficient algorithm implementation, low power architecture and acceleration. Recently, some MAAs such as Finite Ridgelet Transform (FRIT) Haar Wavelet Transform (HWT) are became very popular and they are suitable for a number of image processing applications such as detection of line singulari
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Sudini, Vikas Reddy. "Real-time Vision-Based Lane Detection with 1D Haar Wavelet Transform on Raspberry Pi." DigitalCommons@USU, 2017. https://digitalcommons.usu.edu/etd/5630.

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Rapid progress is being made towards the realization of autonomous cars. Since the technology is in its early stages, human intervention is still necessary in order to ensure hazard-free operation of autonomous driving systems. Substantial research efforts are underway to enhance driver and passenger safety in autonomous cars. Toward that end GreedyHaarSpiker, a real-time vision-based lane detection algorithm is proposed for road lane detection in different weather conditions. The algorithm has been implemented in Python 2.7 with OpenCV 3.0 and tested on a Raspberry Pi 3 Model B ARMv8 1GB RAM
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Paulson, Courtney L. "Using the Haar-Fisz wavelet transform to uncover regions of constant light intensity in Saturn's rings." Honors in the Major Thesis, University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/1473.

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This item is only available in print in the UCF Libraries. If this is your Honors Thesis, you can help us make it available online for use by researchers around the world by following the instructions on the distribution consent form at http://library.ucf.edu/Systems/DigitalInitiatives/DigitalCollections/InternetDistributionConsentAgreementForm.pdf You may also contact the project coordinator, Kerri Bottorff, at kerri.bottorff@ucf.edu for more information.<br>Bachelors<br>Sciences<br>Statistics
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Adorni, Cássio Avelino. "Metodologia para automação de inspeção visual de bolsas para coleta de sangue." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/18/18152/tde-12022009-091751/.

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As bolsas para coleta de sangue necessitam cuidados técnicos que assegurem sua esterilidade biológica durante o processo de fabricação até a entrega do produto final. As bolsas para coleta de sangue não devem conter qualquer tipo de resíduo, para que o seu uso ou conteúdo não seja comprometido causando diversos transtornos. É preciso eliminar o risco de contaminação; no entanto muitas empresas fazem a inspeção de bolsas para coleta de sangue visualmente, a olho nu, por funcionários treinados no uso de equipamento simples, o qual não pode garantir que todas as bolsas estejam livres de resíduos,
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Books on the topic "Haar Transform"

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1954-, Mann David, ed. Love and hate: Psychoanalytic perspectives. Brunner-Routledge, 2002.

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Growth Hacking for Hair Salons: Transform Your Hair Salon, Day Spa, or Service Business Into a BADASS Money Machine! Inspiracle Publishing, 2020.

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Ramadan, Moussa Abou. Muslim Jurists’ Criteria for the Division of the World into Dar al-Harb and Dar al-Islam. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198805878.003.0011.

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There is disagreement over the definition of dar al-Islam and dar al-harb between classical and contemporary jurists. Different authors have laid down different criteria; we find different opinions even within the same school; and at times variations may even be found with regard to the same author and/or in the same treatise. Some jurists give preference to Islamic law, while other focus on the safety of Muslims. The majority accepts that dar al-Islam can be transformed into dar al-harb, while Ibn Hajar holds that a territory belonging to dar al-Islam will never lose its status. There is also
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Martin, Daniel. The Enduring Cult of The Bride with White Hair: Chivalry and the Monstrous Other in the Hong Kong Fantasy-Horror. Edinburgh University Press, 2018. http://dx.doi.org/10.3366/edinburgh/9781474424592.003.0005.

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The Bride with White Hair (Ronny Yu, 1993) tells the tale of a heroic swordsman’s ill-fated love affair with a woman transformed by hatred into a white-haired killer, elevated the figure of the frosty-follicled executioner into one of the most enduring icons of the Hong Kong horror film. The timelessness and mysticism of the story lends itself to a highly hybridized type of horror, offering wuxia (swordplay), magical fantasy, romance and erotic scintillation alongside bloody fights, savage violence, and a monstrous depiction of malevolent conjoined twins. This chapter examines this film as emb
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Pinder, Kymberly N. Black Liberation Theology, Black Power, and the Black Arts Movement at Trinity United Church of Christ. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252039928.003.0004.

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This chapter examines the Black Mural Movement in the context of religious imagery by focusing on the evolution of Joseph W. Evans Jr.'s art. In 1986 Evans illustrated the motto of Chicago's Trinity United Church of Christ (TUCC), “Unashamedly Black and Unapologetically Christian” with a painting of a Jesus with dark brown skin and tightly curled black hair, his arms outstretched around a smiling African American family. This image of a black Christ was Evans's vision of being black and Christian. In the 1970s Evans joined TUCC, where the pastor, Jeremiah Wright Jr., promoted Black Liberation
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Llewellyn, Matthew P., and John Gleaves. Selling Out the Amateur Ideal. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252040351.003.0008.

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This chapter discusses the continued decline of amateurism during the late 1960s and 1970s. Soaked in the countercultural spirit of the era, movements around the world challenged social norms and social order, often through radical and subversive efforts. The sustained push for civil rights along racial, gender, and social lines powerfully exposed the system of inequality in capitalist societies. Amateur sport was not immune to emerging cultural movements that challenged exploitation and threatened the status quo. Hair gradually lengthened as athletes questioned the authority of coaches and ad
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Book chapters on the topic "Haar Transform"

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Arndt, Jörg. "The Haar transform." In Matters Computational. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14764-7_24.

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Walnut, David F. "The Discrete Haar Transform." In An Introduction to Wavelet Analysis. Birkhäuser Boston, 2004. http://dx.doi.org/10.1007/978-1-4612-0001-7_6.

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Carrioli, Luigi. "A Pyramidal Haar-Transform Implementation." In Image Analysis and Processing. Springer US, 1986. http://dx.doi.org/10.1007/978-1-4613-2239-9_10.

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Fu, Ada Wai-chee, Oscar Tat-Wing Leung, Eamonn Keogh, and Jessica Lin. "Finding Time Series Discords Based on Haar Transform." In Advanced Data Mining and Applications. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11811305_3.

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Liu, Yingxia, and Faliang Chang. "Detecting Algorithm for Object Based-Double Haar Transform." In Computer Science for Environmental Engineering and EcoInformatics. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22691-5_77.

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Ciancio, Armando, and Carlo Cattani. "Analysis of Singularities by Short Haar Wavelet Transform." In Computational Science and Its Applications - ICCSA 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11751540_90.

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Porwik, Piotr, and Lisowska Agnieszka. "The New Graphic Description of the Haar Wavelet Transform." In Computational Science - ICCS 2004. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-25944-2_1.

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Kapoor, Gaurav. "Protection of Six-Phase Transmission Line Using Haar Wavelet Transform." In Algorithms for Intelligent Systems. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0426-6_27.

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Struzik, Zbigniew R., and Arno Siebes. "The Haar Wavelet Transform in the Time Series Similarity Paradigm." In Principles of Data Mining and Knowledge Discovery. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-540-48247-5_2.

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Verma, D. N., Sahil Narang, and Bhawna Juneja. "Texture Based Image Retrieval Using Correlation on Haar Wavelet Transform." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35615-5_12.

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Conference papers on the topic "Haar Transform"

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Rutz, Thiago, Morgana Da Rosa, Rodrigo Lopes, Eduardo Da Costa, Rafael Soares, and Sergio Bampi. "Energy-Efficient Watermarking System Through Approximate Discrete Haar Wavelet Transform." In 2024 31st IEEE International Conference on Electronics, Circuits and Systems (ICECS). IEEE, 2024. https://doi.org/10.1109/icecs61496.2024.10848843.

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Yang, Ge, Xiaomao Li, Penghui Wang, Yiqiang Wu, and Xie Xie. "Haar Wavelet Transform with Attention for Accurate PatchMatch Multi-View Stereo." In 2024 4th International Conference on Computer Science and Blockchain (CCSB). IEEE, 2024. http://dx.doi.org/10.1109/ccsb63463.2024.10735533.

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Ding, Jian-Jiun, Soo-Chang Pei, and Po-Hung Wu. "Jacket Haar transform." In 2011 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2011. http://dx.doi.org/10.1109/iscas.2011.5937864.

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Zhechev, Bozhan. "Null spaces and Haar transform." In the 2007 international conference. ACM Press, 2007. http://dx.doi.org/10.1145/1330598.1330667.

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Irion, Jeff, and Naoki Saito. "The generalized Haar-Walsh transform." In 2014 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2014. http://dx.doi.org/10.1109/ssp.2014.6884678.

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Ben Uri, Joseph. "Coded holography for Walsh transform and Haar transform." In Holographics International '92, edited by Yuri N. Denisyuk and Frank Wyrowski. SPIE, 1993. http://dx.doi.org/10.1117/12.140399.

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Falkowski, B. J., and Shixing Yan. "Arithmetic-Haar Spectral Transform Decision Diagrams." In 36th International Symposium on Multiple-Valued Logic (ISMVL'06). IEEE, 2006. http://dx.doi.org/10.1109/ismvl.2006.11.

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Altermann, Joao, Eduardo Costa, and Sergio Almeida. "High performance Haar Wavelet transform architecture." In 2011 European Conference on Circuit Theory and Design (ECCTD). IEEE, 2011. http://dx.doi.org/10.1109/ecctd.2011.6043604.

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Ajdari, Jaumin. "Parallel Hypercube Implementation of Haar Transform." In 2009 WRI World Congress on Computer Science and Information Engineering. IEEE, 2009. http://dx.doi.org/10.1109/csie.2009.268.

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Battisti, F., K. Egiazarian, M. Carli, and A. Neri. "Data hiding based on Fibonacci-Haar transform." In Defense and Security Symposium, edited by Sos S. Agaian and Sabah A. Jassim. SPIE, 2007. http://dx.doi.org/10.1117/12.720173.

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