TIP
2008
13 years 4 months ago
2008
Abstract--This paper considers the problem of high-dynamicrange (HDR) image capture using low-dynamic-range (LDR) cameras. We present three different minimal-bracketing algorithms ...
TIP
2008
13 years 4 months ago
2008
Intensity inhomogeneities often occur in real-world images and may cause considerable difficulties in image segmentation. In order to overcome the difficulties caused by intensity ...
TIP
2008
13 years 4 months ago
2008
We consider the problem of detecting object contours in natural images. In many cases, local luminance changes turn out to be stronger in textured areas than on object contours. Th...
TIP
2008
13 years 4 months ago
2008
An overview of the classification-based least squares trained filters on picture quality improvement algorithms is presented. For each algorithm, the training process is unique and...
TIP
2008
13 years 4 months ago
2008
Abstract--In this paper, we propose a natural framework that allows any region-based segmentation energy to be re-formulated in a local way. We consider local rather than global im...
TIP
2008
13 years 4 months ago
2008
We consider the problem of recognizing 3-D objects from 2-D images using geometric models and assuming different viewing angles and positions. Our goal is to recognize and localize...
TIP
2008
13 years 4 months ago
2008
Consider the problem of transmitting multiple video streams to fulfill a constant bandwidth constraint. The available bit budget needs to be distributed across the sequences in ord...
TIP
2008
13 years 4 months ago
2008
We present a fast variational deconvolution algorithm that minimizes a quadratic data term subject to a regularization on the 1 -norm of the wavelet coefficients of the solution. ...
TIP
2008
13 years 4 months ago
2008
Abstract--Active models have been widely used in image processing applications. A crucial stage that affects the ultimate active model performance is initialization. This paper pro...
TIP
2008
13 years 4 months ago
2008
Abstract--In this paper, we propose a maximum-entropy expectation-maximization (MEEM) algorithm. We use the proposed algorithm for density estimation. The maximum-entropy constrain...