Relevant bibliographies by topics / Sum of absolute difference (SAD)

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

Academic literature on the topic 'Sum of absolute difference (SAD)'

Author: Grafiati
Published: 14 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Sum of absolute difference (SAD)"

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Jaya, Koshta Kavita Khare and M.K Gupta. "EFFICIENT ABSOLUTE DIFFERENCE CIRCUIT FOR SAD COMPUTATION ON FPGA." International Journal of VLSI design & Communication Systems (VLSICS) Vol.10, No.2, April 2019 10, no. 2 (2019): 01–12. https://doi.org/10.5281/zenodo.3442142.

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Video Compression is very essential to meet the technological demands such as low power, less memory and fast transfer rate for different range of devices and for various multimedia applications. Video compression is primarily achieved by Motion Estimation (ME) process in any video encoder which contributes to significant compression gain.Sum of Absolute Difference (SAD) is used as distortion metric in ME process.In this paper, efficient Absolute Difference(AD)circuit is proposed which uses Brent Kung Adder(BKA) and a comparator based on modified 1’s complement principle and conditional
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Madhuri, G. M. G., S. Padmavathi, P. Jhansi, and N. Sai Kumar. "REDUCTION OF MEMORY REQUIREMENTS USING SUM OF ABSOLUTE DIFFERENCES(SAD)." International Journal of Engineering Applied Sciences and Technology 04, no. 12 (2020): 619–23. http://dx.doi.org/10.33564/ijeast.2020.v04i12.111.

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Hamzah, Rostam Affendi, Muhd Nazmi Zainal Azali, Zarina Mohd Noh, Madiha Zahari, and Adi Irwan Herman. "Development of depth map from stereo images using sum of absolute differences and edge filters." Indonesian Journal of Electrical Engineering and Computer Science 25, no. 2 (2022): 875. http://dx.doi.org/10.11591/ijeecs.v25.i2.pp875-883.

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This article proposes a framework for the depth map reconstruction using stereo images. Fundamentally, this map provides an important information which commonly used in essential applications such as autonomous vehicle navigation, drone’s navigation and 3D surface reconstruction. To develop an accurate depth map, the framework must be robust against the challenging regions of low texture, plain color and repetitive pattern on the input stereo image. The development of this map requires several stages which starts with matching cost calculation, cost aggregation, optimization and refinement sta
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Hamzah, Rostam Affendi, Muhd Nazmi Zainal Azali, Zarina Mohd Noh, Madiha Zahari, and Adi Irwan Herman. "Development of depth map from stereo images using sum of absolute differences and edge filters." Indonesian Journal of Electrical Engineering and Computer Science 25, no. 2 (2022): 875–83. https://doi.org/10.11591/ijeecs.v25.i2.pp875-883.

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This article proposes a framework for the depth map reconstruction using stereo images. Fundamentally, this map provides an important information which commonly used in essential applications such as autonomous vehicle navigation, drone’s navigation and 3D surface reconstruction. To develop an accurate depth map, the framework must be robust against the challenging regions of low texture, plain color and repetitive pattern on the input stereo image. The development of this map requires several stages which starts with matching cost calculation, cost aggregation, optimization and refineme
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Abreu, Brunno Alves, Mateus Grellert, Guilherme Paim, et al. "Exploring Absolute Differences Arithmetic Operators for Power and Area-Efficient SAD Hardware Architectures." Journal of Integrated Circuits and Systems 15, no. 1 (2020): 1–9. http://dx.doi.org/10.29292/jics.v15i1.88.

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Managing the energy requirements of video encoders has been an important research topic throughout the latest years, given the limited resources of battery-powered systems. Sum of Absolute Differences (SAD) stands out among the most costly steps in the video encoding process compliant with the High Efficiency Video Coding (HEVC) standard. This metric is mainly used to explore temporal redundancies during the inter prediction stage of the encoder, and it is applied by adding the absolute differences of the colocalized pixels of two video blocks, as a means of measuring the similarity between th
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Mohamed, Sejai, Mansouri Anass, Bennani Dosse Saad, and Ruichek Yassine. "Parallel field programmable gate array implementation of the sum of absolute differences algorithm used in the stereoscopic system." TELKOMNIKA (Telecommunication, Computing, Electronics and Control) 20, no. 6 (2022): 1307–16. https://doi.org/10.12928/telkomnika.v20i6.22852.

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Stereo vision is a popular method for an artificial vision-based environment perception system used in various applications such as intelligent transportation. With two cameras, the disparity map is calculated to find the distance and depth of objects in front of a moving vehicle. The key element of the stereoscopic system is based on the sum of absolute differences (SAD) algorithm, which is the most repeated operation in the stereo matching subsystem; however, this algorithm requires a very intensive processing time, statistical analysis show that the SAD block can consume more than 80%
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Abubacker, K. A. Shaheer, J. Sutha, and K. A. Shahul Hameed. "A simple multi-feature based stereoscopic medical image retrieval system." Polish Journal of Medical Physics and Engineering 25, no. 2 (2019): 127–30. http://dx.doi.org/10.2478/pjmpe-2019-0017.

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Abstract This paper describes a method of retrieving stereoscopic medical images from the database that consists of feature extraction, similarity measure, and re-ranking of retrieved images. This method retrieves similar images of the query image from the database and re-ranks them according to the disparity map. The performance is evaluated using the metrics namely average retrieval precision (APR) and average retrieval rate (ARR). According to the performance outcomes, the multi-feature based image retrieval using Mahalanobis distance measure has produced better result compared to other dis
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Tariq, Junaid, Sam Kwong, and Hui Yuan. "HEVC intra mode selection based on Rate Distortion (RD) cost and Sum of Absolute Difference (SAD)." Journal of Visual Communication and Image Representation 35 (February 2016): 112–19. http://dx.doi.org/10.1016/j.jvcir.2015.11.013.

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Ge, Jia, Jia Song Wu, Zhi Fang Dong, and Hua Zhong Shu. "Video Block Motion Estimation Based on Walsh-Hadamard Projection Kernels." Advanced Materials Research 971-973 (June 2014): 1847–52. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.1847.

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In modern video coders, motion is estimated using an algorithm that calculates the distance and direction of motion on a block-by-block basis. In this paper, a new motion estimation scheme is proposed. This scheme uses the sum of absolute difference between the Walsh-Hadamard projections of two blocks as measurement. And integral image is used to perform the scheme. Different from other methodologies using WH projections, the method proposed in this paper does not require iteration over every position to effectively calculate the WH projections of a block at any location. And the complexity of
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Hamzah, Rostam Affendi, M. G. Yeou Wei, and N. Syahrim Nik Anwar. "Development of stereo matching algorithm based on sum of absolute RGB color differences and gradient Matching." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 3 (2020): 2375. http://dx.doi.org/10.11591/ijece.v10i3.pp2375-2382.

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This paper proposes a new stereo matching algorithm which uses local-based method. The Sum of Absolute Differences (SAD) algorithm produces accurate result on the disparity map for the textured regions. However, this algorithm is sensitive to low texture areas and high noise on images with high different brightness and contrast. To get over these problems, the proposed algorithm utilizes SAD algorithm with RGB color channels differences and combination of gradient matching to improve the accuracy on the images with high brightness and contrast. Additionally, an edge-preserving filter is used a
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Dissertations / Theses on the topic "Sum of absolute difference (SAD)"

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XIAO, GUOPING. "VLSI architectures design for encoders of High Efficiency Video Coding (HEVC) standard." Doctoral thesis, Politecnico di Torino, 2016. http://hdl.handle.net/11583/2644058.

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The growing popularity of high resolution video and the continuously increasing demands for high quality video on mobile devices are producing stronger needs for more efficient video encoder. Concerning these desires, HEVC, a newest video coding standard, has been developed by a joint team formed by ISO/IEO MPEG and ITU/T VCEG. Its design goal is to achieve a 50% compression gain over its predecessor H.264 with an equal or even higher perceptual video quality. Motion Estimation (ME) being as one of the most critical module in video coding contributes almost 50%-70% of computational complexity
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Huang, Jung-Yang, and 黃榮陽. "A Sum of Absolute Difference (SAD) based Genetic Algorithm for Motion Estimation." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/54308676772223816748.

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碩士<br>國立臺灣大學<br>電機工程學研究所<br>91<br>In video coding, the temporal redundancy between consecutive frames can be reduced by the motion estimation and motion compensation technique. Motion estimation plays an important role in reducing the bit rates for transmission or storage of video signals. A robust motion estimation algorithm called the Sum of Absolute Difference based Genetic Algorithm (SADGA) is proposed in this thesis. The proposed scheme applies the genetic algorithm to construct the SAD structure for each block, which combines the advantages of the genetic algorithm and the small diamond
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Book chapters on the topic "Sum of absolute difference (SAD)"

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Tran, Trung Hieu, Hyo-Moon Cho, and Sang-Bock Cho. "Performance Enhancement of Sum of Absolute Difference (SAD) Computation in H.264/AVC Using Saturation Arithmetic." In Emerging Intelligent Computing Technology and Applications. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04070-2_45.

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Manjunatha, D. V., and G. Sainarayanan. "Low-Power Sum of Absolute Difference Architecture for Video Coding." In Lecture Notes in Electrical Engineering. Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1157-0_34.

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Khemiri, Randa, Soulef Bouaafia, Asma Bahba, Maha Nasr, and Fatma Ezahra Sayadi. "Performance Analysis of OpenCL and CUDA Programming Models for the High Efficiency Video Coding." In Digital Image Processing - Advances and Applications [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.99823.

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In Motion estimation (ME), the block matching algorithms have a great potential of parallelism. This process of the best match is performed by computing the similarity for each block position inside the search area, using a similarity metric, such as Sum of Absolute Differences (SAD). It is used in the various steps of motion estimation algorithms. Moreover, it can be parallelized using Graphics Processing Unit (GPU) since the computation algorithm of each block pixels is similar, thus offering better results. In this work a fixed OpenCL code was performed firstly on several architectures as C
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Anderson, Greg M., and David A. Crerar. "Thermodynamic Properties of Simple Systems." In Thermodynamics in Geochemistry. Oxford University Press, 1993. http://dx.doi.org/10.1093/oso/9780195064643.003.0011.

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We have now introduced several thermodynamic parameters that are useful in dealing with energy transfers (U, H, G, etc.). We wish now to see how these quantities are measured and where to find values for them. In later chapters we will see how they are used in detail. However, we have an immediate problem in that we cannot measure the energy parameters U, H, G and A, as discussed in Chapter 4. Because we do not know the absolute values of either the total or molar version of these variables, we are forced to deal only with their changes in processes or reactions of interest to us. But we obvio
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Essington, Timothy E. "Modeling in Spreadsheets." In Introduction to Quantitative Ecology. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192843470.003.0012.

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The chapter “Modeling in Spreadsheets” introduces some of the basic skills needed to implement the models reviewed in this book. It explains the difference between absolute and relative cell references, how to write formulas with both types of cell references, and basic spreadsheet functions such as sum, average, count, and so on. It also shows how to make simple plots (e.g. x-y scatter plots). In addition, it covers topics such as how to structure a spreadsheet for clear model analysis, naming cells, useful commands, and the data table function. Finally, it provides a brief introduction to Vi
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Oriakhi, Christopher O. "Chemical Thermodynamics." In Chemistry in Quantitative Language. Oxford University Press, 2009. http://dx.doi.org/10.1093/oso/9780195367997.003.0025.

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Chemical thermodynamics is the study of the energy changes and transfers associated with chemical and physical transformations. Energy is the ability to do work or to transfer heat. A spontaneous process is one that can occur on its own without any external influence. A spontaneous process always moves a system in the direction of equilibrium. When a process or reaction cannot occur under the prescribed conditions, it is nonspontaneous. The reverse of a spontaneous process or reaction is always nonspontaneous. Heat (q) is the energy transferred between a system and its surroundings due to a te
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Conference papers on the topic "Sum of absolute difference (SAD)"

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Nandagopal, R., and Sumit K. Chatterjee. "Efficient Motion Estimation for Video Compression Using Approximate Arithmetic in Sum of Absolute Difference Computation." In 2024 IEEE International Symposium on Smart Electronic Systems (iSES). IEEE, 2024. https://doi.org/10.1109/ises63344.2024.00066.

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Hoa, Dang Khanh, Le Dung, and Nguyen Tien Dzung. "Efficient determination of disparity map from stereo images with modified sum of absolute differences (SAD) algorithm." In 2013 International Conference on Advanced Technologies for Communications (ATC 2013). IEEE, 2013. http://dx.doi.org/10.1109/atc.2013.6698196.

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Kumm, Martin, Marco Kleinlein, and Peter Zipf. "Efficient sum of absolute difference computation on FPGAs." In 2016 26th International Conference on Field Programmable Logic and Applications (FPL). IEEE, 2016. http://dx.doi.org/10.1109/fpl.2016.7577374.

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Naresh Kumar, M., Boddam Sathvika, and M. Sai Pranav. "Intelligent Surveillance System Using Sum of Absolute Difference Algorithm." In 2022 International Conference on Computer Communication and Informatics (ICCCI). IEEE, 2022. http://dx.doi.org/10.1109/iccci54379.2022.9740813.

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Niitsuma, Hiroaki, and Tsutomu Maruyama. "Sum of Absolute Difference Implementations for Image Processing on FPGAs." In 2010 International Conference on Field Programmable Logic and Applications (FPL). IEEE, 2010. http://dx.doi.org/10.1109/fpl.2010.40.

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Aditya Rachman Putra, Fadhil Mochammad, and Hans Herdian. "FPGA implementation of template matching using binary Sum of Absolute Difference." In 2016 6th International Conference on System Engineering and Technology (ICSET). IEEE, 2016. http://dx.doi.org/10.1109/icsengt.2016.7849615.

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Putra, Aditya Rachman, Fadhil Mochammad, and Hans Herdian. "FPGA implementation of template matching using binary sum of absolute difference." In 2016 International Conference on Frontiers of Information Technology (FIT). IEEE, 2016. http://dx.doi.org/10.1109/fit.2016.7857510.

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Lai-Man Po, Yusuf Md Salah Uddin, Kai Guo, and Liping Wang. "Compensated sum of absolute difference for fast H.264 inter mode selection." In 2008 International Conference on Audio, Language and Image Processing (ICALIP). IEEE, 2008. http://dx.doi.org/10.1109/icalip.2008.4590012.

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Petrousov, Ioannis, and Minas Dasygenis. "Realization of a hardware generator for the sum of absolute difference component." In 2017 6th International Conference on Modern Circuits and Systems Technologies (MOCAST). IEEE, 2017. http://dx.doi.org/10.1109/mocast.2017.7937612.

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Shah, Nehal N., Khyati R. Agarwal, and Harikrishna M. Singapuri. "Implementation of sum of absolute difference using optimized partial summation term reduction." In 2013 International Conference on Advanced Electronic Systems (ICAES). IEEE, 2013. http://dx.doi.org/10.1109/icaes.2013.6659390.

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