Visual information presentations on small displays
are being increased as the use of mobile communication is
increasing day by day. Digital image is one of the most popular
forms of visual information which is easily shared and accessible.
However, a challenge is to provide a better user experience on
heterogeneous small display sizes. In this paper, a novel detail
and efficient algorithm is proposed to browse images by
automatic panning and zooming on Region-of-Interests (ROIs) of
image for small display users. Images are classified into two
different classes and ROIs of image are extracted by using
top-down and bottom-up approaches. ROIs are browsed using
different intuitive and study based strategies. Our proposed
system is evaluated by subjective test and evaluation results
indicate that the proposed system is an effective large image
displaying technique on small displays.