This is a hands-on course that will explore the basis of image processing on Android devices. The increasing availability of high-performance, low-priced, portable digital imaging devices has created a tremendous opportunity for supplementing traditional imaging for scene and document image acquisition. Digital cameras attached to cellular phones, PDAs, or wearable computers, and standalone image or video devices are highly mobile and easy to use. For text based applications, for example, these devices can capture images of business documents, thick books, historical manuscripts too fragile to touch, and text in scenes, making them much more versatile than desktop scanners. Robust solutions to the analysis of documents captured with such devices are becoming available, creating demand in multiple domains. Traditional scanner-based document analysis techniques provide us with a good reference and starting point, but they cannot be used directly on camera-captured images. Camera-captured images can suffer from low resolution, blur, and perspective distortion, as well as complex layout and interaction of the content and background. For scene based applications, these devices are slow replacing a significant segment of the traditional digital camera market, with the advantage of on board processing that can significantly expand the number of applications. This course will highlight the state of the art including a survey of application domains, technical challenges, and solutions for the analysis of scenes and documents captured by digital cameras baseline for development of such applications on Android devices. We will begin by describing typical imaging devices and the imaging process, then discuss document analysis from a single camera-captured image, as well as multiple frames and highlight some sample applications under development, and feasible ideas for future development. The second half of the course will focus on a hand-on tutorial for basic image acquisition and processing on Android devices. We will enable the audience to write their own "instagram" on Android devices. Course Topics include imaging process; mobile imaging devices including capabilities, differences between scanner and camera captured images; enhancement – rectification, lighting, document mosaicing, processing of images on the device, and other symbologies; 1D and barcodes; applications; and market analysis and business opportunities.

The increasing availability of high-performance, low-priced, portable digital imaging devices has created a tremendous opportunity for supplementing traditional scanning for document image acquisition. Digital cameras attached to cellular phones, PDAs, or wearable computers, and standalone image or video devices are highly mobile and easy to use. These devices can capture images of thick books, historical manuscripts too fragile to touch, and text in scenes, making them much more versatile than desktop scanners. Robust solutions to the analysis of documents captured with such devices are becoming available, creating demand in multiple domains. Traditional scanner-based document analysis techniques provide us with a good reference and starting point, but they cannot be used directly on camera-captured images. Camera-captured images can suffer from low resolution, blur, and perspective distortion, as well as complex layout and interaction of the content and background. This course will highlight the state of the art including a survey of application domains, technical challenges, and solutions for the analysis of documents captured by digital cameras. We will begin by describing typical imaging devices and the imaging process, then discuss document analysis from a single camera-captured image, as well as multiple frames and highlight some sample applications under development, and feasible ideas for future development. Course Topics include imaging process; mobile imaging devices including capabilities, differences between scanner and camera captured document images; enhancement – rectification, lighting, document mosaicing, processing of images on the device, and other symbologies; 1D and barcodes; applications; and market analysis and business opportunities.