Master
image processing
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Fast encoding algorithm for vector quantization- based on block truncation coding technique Maha A. Hameed, Iraqi Journal of Science 2005.
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Fast vector quantization using cache codebook- based on block truncation coding technique Maha A. Hameed, Al-Mustansiriya Journal of Science 2006.
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Fast Algorithm for Vector Quantizer using Cache Codebook Maha A. Hameed, Al-Mustansiriya Journal of Science 2008.
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A Modified Block Truncation Coding Algorithm for Image Data Compression Maha A. Hameed, College of Education Journal of Science, Vol. , no.3, 2009.
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Adaptive bit-map correlation in the AMBTC-VQ techniques using an algorithm for binary codebook design Maha A. Hameed, Ban S. Ismael and Hasanain H. Ali Al- Nahrain University Journal of Science, Vol.14 , no.1, 2011.
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An algorithm for binary codebook design based on the average bitmap replacement error (ABPRE) Maha A. Hameed, Baghdad Science Journal, Vol.14 , no.1, 2011.
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DIGITAL IMAGE COMPRESSION USING ADAPTIVE BTC METHOD BASED ON WEBER – FECHNER’S MEASURE Maha A. Hameed, Al-Mustansiriya Journal of Science, 2011.
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Combine human's visual perception and wavelet method depending on the two absolute moment values Maha A. Hameed, Inas Younus Yahya, and Nassr abed azeez College of Education Journal of Science, 2012.
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Adaptive block truncation technique based on an individual local image statistics Maha A. Hameed, Al-Mustansiriya Journal of Science, 2012.
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Edge Detection in an Image by basing on the Elimination Rule Maha A. Hameed, Iraqi Journal of Science, 2012.
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Edge detection in an image using Triangle Inequality Theorem Maha A. Hameed, Al-Mustansiriya Journal of Science, 2015.
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Fast encoding algorithm based on Weber's law and Triangular Inequality Theorem Nihad A. Karam, Maha A. Hameed and Suhad A. Hamdan Iraqi Journal of Science,2015.
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A nonlinear edge- preserving smoothing filter for edge detection on color and gray satellite images Suhad A. Hamdan, Nawal K. Ghazal, Maha A. Hameed Iraqi Journal of Physics, 2015.
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Fast vector quantization algorithm - based on Absolute Moment Block Truncation coding (AMBTC) Maha A. Hameed, International Journal of Application or Innovation in Engineering & Management (IJAIEM) Volume 4, Issue 6, June 2015 ISSN 2319 - 4847
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Low computations in compression image schemes using Cache codebook based on Weber's law Maha A. Hameed, Iraqi Journal of Science, 2016.
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Enhance and Compress the Dark Regions Depending on an Experimental Psychologist Law Maha A. Hameed, International Journal of Science and Research(IJSR) Volume 6, Issue 7, July 2017, ISSN 2319 - 7064
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Design high- speed search by classifying binary code book based on edge information in block Maha A. Hameed, International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 7, Issue 7, August 2018, ISSN 2319 – 4847
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Fast search method by block categorization and multi codebook designing based on block edge Maha A. Hameed, Indian Journal of Natural Sciences, Volume 9, Issue 52, February, 2019, ISSN 0976 – 0997.
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Small Binary Codebook design depending on Rotating Blocks Maha A. Hameed, Saif B. Al-Khoja and Rafah R. Ismail, Iraqi Journal of Science, Vol. 62, No. 10, pp. 3719-3723, 2021.
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Hameed, M.A., (July 2023), Codebook Design Method for Astronomical Images Compression, Proceedings of the Minar Congress, Turkey, (9) pp 77-82, IX. International Scientific Congress of Pure, Applied and Technological Sciences (MINAR Congress)
Astronomy _ image
Computers
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Image compression is a suitable technique to reduce the storage space of an image, increase the area of storage in the device, and speed up the transmission process. In this paper, a new idea for image compression is proposed to improve the performance of the Absolute Moment Block Truncation Coding (AMBTC) method depending on Weber's law condition to distinguish uniform blocks (i.e., low and constant details blocks) from non-uniform blocks in original images. Then, all elements in the bitmap of each uniform block are represented by zero. After that, the lossless method, which is Run Length method, is used for compressing the bits more, which represent the bitmap of these uniform blocks. Via this simple idea, the result is improving
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In this paper, we have employed a computation of three technique to reduce the computational complexity and bit rate for compressed image. These techniques are bit plane coding based on two absolute values, vector quantization VQ technique using Cache codebook and Weber's low condition. The experimental results show that the proposed techniques achieve reduce the storage size of bit plane and low computational complexity.
Edges are significant local changes of intensity in an image. In this paper, an
elimination rule which based on triangular inequality elimination (TIE) has been
adopted to perform the edge detection procedures. A new method has been included
the combining between an elimination rule which based on triangular inequality
elimination (TIE) and the differentiation operator by using the filters mask in one
dimension. The introduced algorithm has been produced a good image quality by
comparison with that which may be obtained by using the differentiation operator of
sharpening an image. The proposed algorithm has been proved it is good for finding
the edge in an image data.
The searching process using a binary codebook of combined Block Truncation Coding (BTC) method and Vector Quantization (VQ), i.e. a full codebook search for each input image vector to find the best matched code word in the codebook, requires a long time. Therefore, in this paper, after designing a small binary codebook, we adopted a new method by rotating each binary code word in this codebook into 900 to 2700 step 900 directions. Then, we systematized each code word depending on its angle to involve four types of binary code books (i.e. Pour when , Flat when , Vertical when, or Zigzag). The proposed scheme was used for decreasing the time of the coding pro
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A nonlinear filter for smoothing color and gray images
corrupted by Gaussian noise is presented in this paper. The proposed
filter designed to reduce the noise in the R,G, and B bands of the
color images and preserving the edges. This filter applied in order to
prepare images for further processing such as edge detection and
image segmentation.
The results of computer simulations show that the proposed
filter gave satisfactory results when compared with the results of
conventional filters such as Gaussian low pass filter and median filter
by using Cross Correlation Coefficient (ccc) criteria.