Skip to main content

Saliency as compact regions for local image enhancement

Buy Article:

$12.00 plus tax (Refund Policy)

Professional photographers compose and process an image to emphasise the image's subject. Images with high salience, where a region is highly distinct from its background, are perceived to be of much greater quality in panel tests. Because of technical and expertise considerations, “average” camera users often capture images that have a lesser salience, thereby decreasing the image's appeal.

The standard workflow to increase the perceived salience of an image's main subject consists in identifying the region of interest, and processing that region according to a set of rules. The level of analysis and processing can greatly vary, from increasing saturation or sharpness to identifying semantic concepts, e.g., faces, and employ a complex, tailored, modification.

This is a delicate problem to approach: saliency prediction algorithms are currently not precise enough, and region classification is necessarily limited to a few specific classes. Furthermore, the variety of content often precludes the usage of a fixed set of rules in the enhancement step.

Rather than attempting to predict saliency in images, we propose that important regions are somewhat distinct from their surroundings and can be identified by features that are spatially compact, in addition to standard compositional cues. Having identified the region of interest, we provide an enhanced image by increasing the values of its compact feature(s), i.e., increasing the perceived saliency of the region of interest. Preference studies indicate our modified images are significantly preferred to the original ones.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Document Type: Research Article

Publication date: 2011-01-01

More about this publication?
  • CIC is the premier annual technical gathering for scientists, technologists, and engineers working in the areas of color science and systems, and their application to color imaging. Participants represent disciplines ranging from psychophysics, optical physics, image processing, color science to graphic arts, systems engineering, and hardware and software development. While a broad mix of professional interests is the hallmark of these conferences, the focus is color. CICs traditionally offer two days of short courses followed by three days of technical sessions that include three keynotes, an evening lecture, a vibrant interactive (poster) papers session, and workshops. An endearing symbol of the meeting is the Cactus Award, given each year to the author(s) of the best interactive paper; there are also Best Paper and Best Student Paper awards.

    Please note: for Purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

  • Information for Authors
  • Submit a Paper
  • Subscribe to this Title
  • Membership Information
  • Terms & Conditions
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more