A Threshold-based Image Recovery Scheme for Image Publishing

Zhen Wu,
Yining Liu,
Kim-Kwang Raymond Choo,


As businesses capitalize on access to a wider global audience via their online presence, the demand for better quality marketing materials has skyrocketed, for example partly evidenced by the demand for images. There are two key entities in the image publishing ecosystem, namely: image publisher and the customer. In such a business model, either the customer needs to pay first or the image publisher delivers the service first. However, there are trade-offs between either approach. Therefore, in this paper, an image recovery scheme for image publishing is proposed. Specifically, the image publisher provides customers with a browsing service, where customers can browse through the lower quality images before deciding which image(s) to purchase. Besides, the image publisher can set different price ranges or tiers, for example, based on the quality of the images or on the quality of the images and the quantity of the entire transaction (e.g., bulk/group discount). Findings from our simulations demonstrate the utility of the proposed scheme.

Citation Format:
Zhen Wu, Yining Liu, Kim-Kwang Raymond Choo, "A Threshold-based Image Recovery Scheme for Image Publishing," Journal of Internet Technology, vol. 22, no. 2 , pp. 385-393, Mar. 2021.

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