here are several domain transform like Fourier, sine, cosine and wavelet transform to processes an image. But the problem with these transform are inefficient to solve certain problem. Fractional Fourier transform gives extra degree of flexibility. It helps to improve image such as Image sharpness, filter and watermark. Keywords— Image processing, Fractional Fourier transform, FrFT, Image blurr...

Quantum Fourier transform (QFT) is an important part of many quantum algorithms. However, there are few reports on fractional (QFRFT). The main reason that the definitions (FRFT) diverse, while some do not include unitarity, which leads to studies pointing out no QFRFT. In this paper, we first present a reformulation weighted (WFRFT) and prove its thereby proposing (QWFRFT). proposal QWFRFT pro...

Fractional Fourier transform (FRFT) performs a rotation of signals in the time—frequency plane, and it has many theories and applications in time-varying signal analysis. Because of the importance of fractional Fourier transform, the implementation of discrete fractional Fourier transform will be an important issue. Recently, a discrete fractional Fourier transform (DFRFT) with discrete Hermite...

Fractional Fourier transform (FRFT) is a generalization of the Fourier transform, rediscovered many times over the past 100 years. In this paper, we provide an overview of recent contributions pertaining to the FRFT. Specifically, the paper is geared toward signal processing practitioners by emphasizing the practical digital realizations and applications of the FRFT. It discusses threemajor top...