2 citations · 7 across the 10 of their papers we have counts for
5 papers · 1 filter
PALQA: A Novel Parameterized Position-Aware Lossy Quantum Autoencoder using LSB Control Qubit for Efficient Image Compression
Ershadul Haque, Manoranjan Paul, Faranak Tohidi +2
With the growing interest in quantum computing, quantum image processing technology has become a vital research field due to its versatile applications and ability to outperform cl…
Efficient quantum image representation and compression circuit using zero-discarded state preparation approach
Md Ershadul Haque, Manoranjan Paul, Anwaar Ulhaq +1
Quantum image computing draws a lot of attention due to storing and processing image data faster than classical. With increasing the image size, the number of connections also incr…
Block-wise quantum grayscale image representation and compression scheme using state connection
Md Ershadul Haque, Manoranjan Paul, Anwaar Ulhaq +1
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 quantu…
A novel state connection strategy for quantum computing to represent and compress digital images
Md Ershadul Haque, Manoranjan Paul, Tanmoy Debnath
Quantum image processing draws a lot of attention due to faster data computation and storage compared to classical data processing systems. Converting classical image data into the…
Advance quantum image representation and compression using DCTEFRQI approach
Md Ershadul Haque, Manoranjon Paul, Anwaar Ulhaq +1
In recent year, quantum image processing got a lot of attention in the field of image processing due to opportunity to place huge image data in quantum Hilbert space. Hilbert space…