Unsharp Measurement with Adaptive Gaussian POVMs for Quantum-Inspired Image Processing

ArXi:2604.04685v1 Announce Type: cross We propose a quantum measurement-based framework for probabilistic transformation of grayscale images using adaptive positive operator-valued measures (POVMs). In contrast, to existing approaches that are largely centered around segmentation or thresholding, the transformation is formulated here as a measurement-induced process acting directly on pixel intensities.