One goal of image processing is to recreate the human visual perception of the original scene. We offer a method of color image enhancement for realistic image display. The algorithm is based on a special implementation of the feed-forward ON-OFF shunting neural network. The properties of the neural network for image processing are first investigated. The computational simulations make clear the strengths and weaknesses of the neural network. Combined with a brightness-based tone reproduction operator, a multiscale extension to the neural network is developed to correct the original version's weaknesses and provides a coherent framework for color image enhancement. The algorithm achieves both dynamic range compression and vivid color rendition and qualitatively approaches the aspects of early visual perception. Extensive tests demonstrate that this method could produce satisfying images without any unexpected results.
KEYWORDS: Field programmable gate arrays, Image processing, Signal processing, Image enhancement, Logic, Clocks, Analog electronics, Lithium, Very large scale integration, Ions
A new hardware implementation of histogram equalization by means of Field Programmable Gate Array (FPGA) is presented. Histogram equalization is an effective means of image enhancement. Its real-time processing requires a great deal of memory and very high processing speed. The logic cell nature of XC4000 family's FPGA is most suitable for performing real-time pixel-level image processing operations such as histogram equalization. A core is constructed to complete this histogram statistics and histogram equalization. As a result, the chip makes circuits and system more effective than ever, and it takes very short time to complete the calculation and generate the look-up table. The equalizing technique is described and implementation results using a Xilinx XC4010 FPGA are presented.
Image fusion technique has gradually been paid more and more attention to for its advantage of integration of information from multisensors, and its application has been developed in many fields such as medicine, remote sensing, computer vision, weather forecast, etc. In this paper, some fusion algorithms on pixel level have been programmed and their effects have been analyzed. A new efficient method named after Contrast Modulation-Pyramid Algorithm has been developed. The realization of this new algorithm has been designed and researched with Digital Signal Processor and has been programmed with relevant software. The result showed that image fusion would been completed at real-time or quasi-real-time speed.
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