Rafael Fonolla Navarro

15 papers B 1Journal 6Unranked 8

Year	Rank	Type	Title / Venue / Authors
2006	J	`jnl`	Nonlinear image representation for efficient perceptual coding. IEEE Trans. Image Process. Jesus Malo, Irene Epifanio, Rafael Fonolla Navarro, Eero P. Simoncelli
2006	—	`conf`	Nonlinear primary cortical image representation for JPEG 2000 - applying natural image statistics and visual perception to image compression. VISAPP (1) Roberto Valerio, Rafael Fonolla Navarro
2003	—	`conf`	Directly Invertible Nonlinear Divisive Normalization Pyramid for Image Representation. VLBV Roberto Valerio, Eero P. Simoncelli, Rafael Fonolla Navarro
2003	—	`conf`	Feature Coding with a Statistically Independent Cortical Representation. Scale-Space Roberto Valerio, Rafael Fonolla Navarro, Bart M. ter Haar Romeny, Luc Florack
2003	—	`conf`	Nonlinear image representation with statistical independent features: efficient implementation and applications. Human Vision and Electronic Imaging Roberto Valerio, Rafael Fonolla Navarro
2001	J	`jnl`	Probabilistic estimation of optical flow in multiple band-pass directional channels. Image Vis. Comput. Oscar Nestares, Rafael Fonolla Navarro
2000	—	`conf`	Non-linear Invertible Representation for Joint Statistical and Perceptual Feature Decorrelation. SSPR/SPR Jesus Malo, Rafael Fonolla Navarro, Irene Epifanio, Francesc J. Ferri, José M Artigas
2000	B	`conf`	Perceptually and Statistically Decorrelated Features for Image Representation: Application to Transform Coding. ICPR Jesus Malo, Francesc J. Ferri, Rafael Fonolla Navarro, Roberto Valerio
1999	J	`jnl`	Duality of log-polar image representations in the space and spatial-frequency domains. IEEE Trans. Signal Process. Antonio Tabernero, Javier Portilla, Rafael Fonolla Navarro
1999	—	`conf`	Probabilistic multichannel optical flow analysis based on a multipurpose visual representation of image sequences. Human Vision and Electronic Imaging Oscar Nestares, Rafael Fonolla Navarro
1998	—	`conf`	Duality between foveatization and multiscale local spectrum estimation. Human Vision and Electronic Imaging Rafael Fonolla Navarro, Javier Portilla, Antonio Tabernero
1998	J	`jnl`	Efficient spatial-domain implementation of a multiscale image representation based on Gabor functions. J. Electronic Imaging Oscar Nestares, Rafael Fonolla Navarro, Javier Portilla, Antonio Tabernero
1996	—	`conf`	Robust method for texture synthesis-by-analysis based on a multiscale Gabor scheme. Human Vision and Electronic Imaging Rafael Fonolla Navarro, Javier Portilla
1994	J	`jnl`	Space and frequency variant image enhancement based on a Gabor representation. Pattern Recognit. Lett. Gabriel Cristóbal, Rafael Fonolla Navarro
1991	J	`jnl`	Gaussian wavelet transform: Two alternative fast implementations for images. Multidimens. Syst. Signal Process. Rafael Fonolla Navarro, Antonio Tabernero

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.