Javier Lezama | Universidad Nacional de Córdoba (original) (raw)

Papers by Javier Lezama

Research paper thumbnail of Hamming Graph based Image Compression with variable Threshold

In this paper a lossy image compression methodusing the adjacency matrix of a graph is proposed.W... more In this paper a lossy image compression methodusing the adjacency matrix of a graph is proposed.We instantiate the method using the Hamming graph,which gives rise to an image compression algorithmthat uses a Hadamard Matrix together with a thresholdapproach. In threshold methods, selection of thecorrect (static) threshold value is difficult. In our approachwe use a new threshold determination thatchanges from block to block obtaining an algorithmthat uses only integer and modular operations andobtains good results in some standard images. Thenew method has better stability under recompressioniteration than jpg.Fil: Levstein, Fernando. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Lezama, Javier Hérnan. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; ArgentinaFil: Maldonado, Ana Carolina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; ArgentinaFil: Penazzi, Daniel Eduardo. Universidad Nacional de Córdoba; ArgentinaFil: Schilman, Mauro. Universidad Nacional de Córdoba; Argentin

Research paper thumbnail of GVIP-Volume15-Issue1-P1151531393

Research paper thumbnail of GVIP, ISSN 1687-398X, Volume 14, Issue 1, Delaware, USA, August 2014

Research paper thumbnail of Compresión de imágenes - codificación de Huffman

La compresión de datos digitales, imágenes digitales, es el proceso de reducción del volumen de d... more La compresión de datos digitales, imágenes digitales, es el proceso de reducción del volumen de datos para representar una determinada cantidad de información. Es decir, un conjunto de datos puede contener datos redundantes que son de poca relevancia o son datos que se repiten en el conjunto, los cuales si se identifican pueden ser eliminados. El ojo humano responde con diferente sensibilidad a la información visual que recibe. La información a la que es menos sensible se puede descartar sin afectar a la percepción de la imagen, suprimiéndose lo que se conoce como redundancia visual, y produciéndose a la vez la pérdida de ciertas características de la imagen.

Research paper thumbnail of Compresión De Imágenes: Formato Jpeg

Research paper thumbnail of Graphics, Vision and Image Processing Journal, ISSN Print 1687-398X, Volume 14, Issue 2, Delaware, USA, December 2014

This issue includes four papers, they are; P1151424332 by Vishnu Murthy. G and Vakulabharanam Vij... more This issue includes four papers, they are; P1151424332 by Vishnu Murthy. G and Vakulabharanam Vijaya Kumar which entitled Overwriting Grammar Model to Represent 2D Image Patterns. P1151442347 by M.A. Fkirin and S.M. Badway and A.K. Helmy and S.A. Mohamed which entitled Measuring Sub Pixel Erratic Shift in Egyptsat-1 Aliased Images: proposed method. P1151442348 by Suhas S Rautmare and Anjali S Bhalchandra which entitled Visual Perception Oriented CBIR envisaged through Fractals and Presence Score. P1151439345 by Hesham Farouk and Kamal ElDahshan and Amr Abozeid which entitled The State of the Art of Video Summarization for Mobile Devices: Review Article

Research paper thumbnail of Graphics, Vision and Image Processing Journal, ISSN 1687-398X, Volume 15, Issue 1, ICGST LLC, Delaware, USA, June 2015

This issue presents several strong papers they are; P1151502359, authored by Eman K. Elsayed and ... more This issue presents several strong papers they are; P1151502359, authored by Eman K. Elsayed and Asmaa M. Eissa, and entitled Ontology base to detect Tampering in Online Digital Images. Paper P1151506360, authored by K. Srinivasa Reddy and V. Venkata Krishna and B. Eswara Reddy, whiche entitled Facial Recognition using the Combination of Significant non uniform Local Binary Pattern. paper P1151506359, authored by Sangita Zope-Chaudhari and Parvatham Venkatachalam and Krishna Mohan Buddhiraju, which entitled WATERMARKING SCHEMES FOR COPYRIGHT PROTECTION OF GEOSPATIAL DATA, A REVIEW. Paper P1151512364, authored by V. R. Khapli and A. S. Bhalchandra, which entitled Multistage VQ based Feature Vector for Effective CBIR. Paper P1151514367, authored by Ashraf K. Helmy and Ayman H. Nasr and Safaa M. Hassan, which entitled Mutual Use of Derived Information from Radarsat-2 and ETM-8 Data for the Improvements of Feature Extraction. Paper P1151514368, authored by Hind H. Zeyada and Mohammed M. Ezz and Ayman H.Nasr and Hany M. Harb, which entitled Classification of Crops using Polarimetric SAR Parameters based on Scattering Mechanism. Paper P1151517373, authored by Levstein F. and Lezama J. and Maldonado C. and Penazzi, D. and Schilman M., which entitled HAMMING GRAPH BASED IMAGE COMPRESSION WITH VARIABLE THRESHOLD.

Research paper thumbnail of Hamming Graph based Image Compression with variable Threshold

In this paper a lossy image compression methodusing the adjacency matrix of a graph is proposed.W... more In this paper a lossy image compression methodusing the adjacency matrix of a graph is proposed.We instantiate the method using the Hamming graph,which gives rise to an image compression algorithmthat uses a Hadamard Matrix together with a thresholdapproach. In threshold methods, selection of thecorrect (static) threshold value is difficult. In our approachwe use a new threshold determination thatchanges from block to block obtaining an algorithmthat uses only integer and modular operations andobtains good results in some standard images. Thenew method has better stability under recompressioniteration than jpg.Fil: Levstein, Fernando. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Lezama, Javier Hérnan. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; ArgentinaFil: Maldonado, Ana Carolina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; ArgentinaFil: Penazzi, Daniel Eduardo. Universidad Nacional de Córdoba; ArgentinaFil: Schilman, Mauro. Universidad Nacional de Córdoba; Argentin

Research paper thumbnail of GVIP-Volume15-Issue1-P1151531393

Research paper thumbnail of GVIP, ISSN 1687-398X, Volume 14, Issue 1, Delaware, USA, August 2014

Research paper thumbnail of Compresión de imágenes - codificación de Huffman

La compresión de datos digitales, imágenes digitales, es el proceso de reducción del volumen de d... more La compresión de datos digitales, imágenes digitales, es el proceso de reducción del volumen de datos para representar una determinada cantidad de información. Es decir, un conjunto de datos puede contener datos redundantes que son de poca relevancia o son datos que se repiten en el conjunto, los cuales si se identifican pueden ser eliminados. El ojo humano responde con diferente sensibilidad a la información visual que recibe. La información a la que es menos sensible se puede descartar sin afectar a la percepción de la imagen, suprimiéndose lo que se conoce como redundancia visual, y produciéndose a la vez la pérdida de ciertas características de la imagen.

Research paper thumbnail of Compresión De Imágenes: Formato Jpeg

Research paper thumbnail of Graphics, Vision and Image Processing Journal, ISSN Print 1687-398X, Volume 14, Issue 2, Delaware, USA, December 2014

This issue includes four papers, they are; P1151424332 by Vishnu Murthy. G and Vakulabharanam Vij... more This issue includes four papers, they are; P1151424332 by Vishnu Murthy. G and Vakulabharanam Vijaya Kumar which entitled Overwriting Grammar Model to Represent 2D Image Patterns. P1151442347 by M.A. Fkirin and S.M. Badway and A.K. Helmy and S.A. Mohamed which entitled Measuring Sub Pixel Erratic Shift in Egyptsat-1 Aliased Images: proposed method. P1151442348 by Suhas S Rautmare and Anjali S Bhalchandra which entitled Visual Perception Oriented CBIR envisaged through Fractals and Presence Score. P1151439345 by Hesham Farouk and Kamal ElDahshan and Amr Abozeid which entitled The State of the Art of Video Summarization for Mobile Devices: Review Article

Research paper thumbnail of Graphics, Vision and Image Processing Journal, ISSN 1687-398X, Volume 15, Issue 1, ICGST LLC, Delaware, USA, June 2015

This issue presents several strong papers they are; P1151502359, authored by Eman K. Elsayed and ... more This issue presents several strong papers they are; P1151502359, authored by Eman K. Elsayed and Asmaa M. Eissa, and entitled Ontology base to detect Tampering in Online Digital Images. Paper P1151506360, authored by K. Srinivasa Reddy and V. Venkata Krishna and B. Eswara Reddy, whiche entitled Facial Recognition using the Combination of Significant non uniform Local Binary Pattern. paper P1151506359, authored by Sangita Zope-Chaudhari and Parvatham Venkatachalam and Krishna Mohan Buddhiraju, which entitled WATERMARKING SCHEMES FOR COPYRIGHT PROTECTION OF GEOSPATIAL DATA, A REVIEW. Paper P1151512364, authored by V. R. Khapli and A. S. Bhalchandra, which entitled Multistage VQ based Feature Vector for Effective CBIR. Paper P1151514367, authored by Ashraf K. Helmy and Ayman H. Nasr and Safaa M. Hassan, which entitled Mutual Use of Derived Information from Radarsat-2 and ETM-8 Data for the Improvements of Feature Extraction. Paper P1151514368, authored by Hind H. Zeyada and Mohammed M. Ezz and Ayman H.Nasr and Hany M. Harb, which entitled Classification of Crops using Polarimetric SAR Parameters based on Scattering Mechanism. Paper P1151517373, authored by Levstein F. and Lezama J. and Maldonado C. and Penazzi, D. and Schilman M., which entitled HAMMING GRAPH BASED IMAGE COMPRESSION WITH VARIABLE THRESHOLD.