Werner Metz

Challenges of merging digital imaging and wireless communication

Recent advances in digital imaging technology combined with the next generation digital wireless communication has great potential to transform the paradigm for how humans will communicate visual information with one another in the next century. The first major change is that the model of one message from a single source to many clients (mass broadcasting) will be replaced by a model of many messages from multiple sources to many receivers (peer to peer). A second major change is that the model will move from a passive client, which only receives messages to an interactive client able to respond and even direct the information content to itself. This will have great impact in the experience of visual communication in the next decade. In this paper, we shall outline some of the key technological challenges in terms of bandwidth, processing power, data rate, data sizes and human factors required to influence this paradigm shift resulting from the merger of digital imaging and digital wireless communication technologies.

Image quality assessment for an Intel digital imaging chip set prototype

Image quality assessments for Intels digital imaging chip set prototype are made using objective and subjective image quality assessment criteria. Objective criteria such as signal to noise ratio, linearity, color error, dynamic range, and resolution are used to provide quantitative metrics for engineering development. Subjective criteria such as mean observer scores derived from single stimulus and paired comparison adjectival ratings provide overall product image quality assessment that are used to determine product acceptability assessments for product marketing analysis. These metrics along with the subjective assessment, serve as development tools which allow the product development team to focus on the critical areas which improve the image quality of the product.