Block-wise quantum grayscale image representation and compression scheme
using state connection
- URL: http://arxiv.org/abs/2212.09222v1
- Date: Mon, 19 Dec 2022 03:17:53 GMT
- Title: Block-wise quantum grayscale image representation and compression scheme
using state connection
- Authors: Md Ershadul Haque, Manoranjan Paul, Anwaar Ulhaq, Tanmoy Debnath
- Abstract summary: A novel SCMNEQR approach has been proposed that uses fewer qubits to map the arbitrary size of the grayscale image.
The experimental results show that the proposed approach outperforms the existing methods in terms of compression.
- Score: 9.653976364051564
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Quantum computing draws huge attention due to its faster computational
capability compared to classical computing to represent and compress the
classical image data into the quantum domain. The main idea of quantum domain
representation is to convert pixel intensities and their coordinates i.e. state
label preparation using quantum bits i.e. Qubits. For a bigger size image, the
state label preparation takes more Qubits. To address more Qubits issues, a
novel SCMNEQR (State Connection Modification Novel Enhanced Quantum
Representation) approach has been proposed that uses fewer qubits to map the
arbitrary size of the grayscale image using block-wise state label preparation.
The proposed SCMNEQR approach introduces the state connection using a reset
gate rather than repeating the use of the Toffoli gate used in the existing
approach. The experimental results show that the proposed approach outperforms
the existing methods in terms of compression.
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