Cost-effective VLSI design of non linear image processing filters

This paper presents a design methodology suitable for the cost-effective and real-time implementation of nonlinear image processing algorithms. Starting from high-level functional descriptions the proposed optimization flow simplifies the designer's duty to achieve a low complexity and low power realization in CMOS technology (FPGA and/or ASIC) with low accuracy loss for the implemented algorithm. As an application case study the paper describes the design of a system, based on a Retinex-like algorithm, to improve the visual quality of images acquired in bad lighting conditions.

[1]  S. Marsi,et al.  Image contrast enhancement using a recursive rational filter , 2004, 2004 IEEE International Workshop on Imaging Systems and Techniques (IST) (IEEE Cat. No.04EX896).

[2]  Edward J. Delp Nonlinear Image Processing , 1990 .

[3]  E. Land,et al.  Lightness and retinex theory. , 1971, Journal of the Optical Society of America.

[4]  Giovanni Ramponi,et al.  A modified retinex for image contrast enhancement and dynamics control , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[5]  Takashi Tsuchiya,et al.  Dynamic range compression based on illumination compensation , 2001, IEEE Trans. Consumer Electron..

[6]  Giovanni Ramponi,et al.  A nonlinear pseudo-Retinex for dynamic range compression in CMOS imaging systems , 2003 .

[7]  T. Kubozono,et al.  Dynamic range compression based on illumination compensation , 2001, ICCE. International Conference on Consumer Electronics (IEEE Cat. No.01CH37182).

[8]  Wayne Luk,et al.  Hierarchical segmentation schemes for function evaluation , 2003, Proceedings. 2003 IEEE International Conference on Field-Programmable Technology (FPT) (IEEE Cat. No.03EX798).

[9]  Luca Fanucci,et al.  Design of a Low-Power VLSI Macrocell for Nonlinear Adaptive Video Noise Reduction , 2004, EURASIP J. Adv. Signal Process..

[10]  Osvaldo R. Saavedra,et al.  Constraints definition and evaluation of piecewise polynomial approximation functions for embedded systems , 2002, IMTC/2002. Proceedings of the 19th IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.00CH37276).