Quantum Dot Cellular Automata Based RBG to Gray Scale Conversion in Bio-Medical Applications

In nano-technology, Quantum dot is a new technology that has recently become one among the most prominent research areas that has the caliber of getting applied in construction of computers in near future. This paper includes additional features of achieving easiness in processing, deriving the features, compressing and storing the discrete images using reversible logic technique in Quantum dot Cellular Automata, over the translation of color space method. Additionally, we are employing the method of aggregation of color stream. The complete circuit is implemented in Quantum Dot Cellular Automata to reduce power dissipation and cell area. Further analysis has been done for delay and simulation time of each of the computing elements involved in the development of architecture of reversible full summer. The standard full summer is a core aspect of the design of aggregation of color stream architecture. This paper focuses on development of new logical circuits for some of the reversible gates that are needed to build a reversible summer. The designs that are being proposed in this paper are very unique, novel and efficient with its associated output waveforms. By using reversible gates, an effective reversible summer can be developed whose circuit diagram is discussed in the lower section. It is a well-known fact that reversible logic can be deployed to reduce the power dissipation and cell area, hence modelling and simulation has been done with reversible logic in QCA Designer. It has been observed that cell area of each computing element in the full summer is approximately 0.05μm
²
which is very less and will ultimately lead to design of low power VLSI for fabrication. Also, it has been noticed that the average simulation time is 1000ms. This can be applicable in biomedical field to allow real time tissue imaging(bio-imaging), diagnosis, single molecule samples, and drug delivery among many otherfields.