Edge-Guided Perceptual Image Coding via Adaptive Interpolation

Xiangjun Zhang, Xiaolin Wu

Abstract: We propose a new image compression technique based on adaptive edge-guided interpolation. The design criterion of the new image compression technique is a perceptual one. We aim to preserve the spatial correlation structures of image edges because human visual system is highly sensitive to distortions of spatial coherence of edges. Experimental results show that the proposed technique indeed achieves superior visual quality than JPEG 2000 at low to modest bit rates. For situations when the encoder has limited computing resources and/or power supply (e.g., wireless communications and sensor networks), the new technique has the desirable property of low encoding complexity.