Quantum Boolean image denoising

摘要: A quantum Boolean image processing methodology is presented in this work, with special emphasis denoising. new approach for internal representation outlined together two interfaces: classical to and classical. The denoising called mean filter works computational basis states (CBS), exclusively. To achieve this, we first decompose the into its three color components, i.e., red, green blue. Then, get bitplanes each color, e.g., 8 bits per pixel, color. From now on, will work bitplane corresponding most significant bit (MSB) of exclusive manner. After a classical-to-quantum interface (which includes inverter), have version within machine. This allows us avoid problem measurement, which alters results measured except case CBS. Said so far extended algorithms outside too. filtering inverted MSB (inside machine), result passes through quantum-classical involves another inverter) then proceeds reassemble component finally ending filtered image. Finally, discuss more appropriate metrics set experimental results.