Various methods for color histogram based indexing of Low Dynamic Range Images, have been developed. All these methods are considered to be effective, but none of the algorithms has been extended to High Dynamic Range (HDR) Images. In this paper, we present a new method for HDR image indexing using histogram intersection in the hue-saturation-value (HSV) color space. For a given HDR image, the proposed approach considers a global descriptor computed according to the quantization of the HSV color space. This descriptor it is highly discriminative and fast to compute. The strength of our approach is proven through experimental results using a database which contains 205 images that are classified into 12 categories. Preliminary results showed that the developed algorithm performs well for HDR image retrieval.
KEYWORDS: High dynamic range imaging, Image filtering, Wavelets, Lithium, Image quality, Visualization, Image processing, Linear filtering, Digital filtering, Eye
This paper presents a novel High Dynamic Range (HDR) tone mapping (TM) system based on sub-band architecture.
Standard wavelet filters of Daubechies, Symlets, Coiflets and Biorthogonal were used to estimate
the proposed system performance in terms of Low Dynamic Range (LDR) image quality and reconstructed
HDR image fidelity. During TM stage, the HDR image is firstly decomposed in sub-bands using symmetrical
analysis-synthesis filter bank. The transform coefficients are then rescaled using a predefined gain map. The
inverse Tone Mapping (iTM) stage is straightforward. Indeed, the LDR image passes through the same sub-band
architecture. But, instead of reducing the dynamic range, the LDR content is boosted to an HDR representation.
Moreover, in our TM sheme, we included an optimization module to select the gain map components that
minimize the reconstruction error, and consequently resulting in high fidelity HDR content. Comparisons with
recent state-of-the-art methods have shown that our method provides better results in terms of visual quality
and HDR reconstruction fidelity using objective and subjective evaluations.
KEYWORDS: 3D modeling, Databases, Fourier transforms, Glasses, Structural analysis, Shape analysis, 3D image processing, Data modeling, Pattern recognition, 3D metrology
This paper presents a novel pattern recognition method based on Reeb graph representation. The main idea of this approach is to reinforce the topological consistency conditions of the graph-based description. This approach enfolds an off-line step and an on-line step. In the off-line one, 3D shape is represented by a Reeb graph associated with geometrical signatures based on parametrization approaches. The similarity estimation is performed in the on-line step. It consists to compute a global similarity measure which quantifies the similitude degree between any pair of 3D-models in the given dataset. The experimental results obtained on the SHREC 2012 database show the system effectiveness in 3D shape recognition.
In recent years it has been recognized that embedding information in wavelet transform domain leads to more
robust watermarks. In particular, several approaches have been proposed to address the problem of watermark
embedding combined to wavelet based image coding. In this paper, we present an alternative to quantization
based blind watermarking strategy in the framework of JPEG2000 still image compression. The central contribution
is the proposal of modified Quantization Index Modulation watermark design to reduce fidelity problem.
We also show that the proposed watermarking scheme exhibits a high robustness with respect to JPEG2000
compression and Gaussian noise attacks. After detailing the proposed solution, system performance on image
quality as well as robustness will be evaluated.
KEYWORDS: Digital watermarking, Image compression, Medical imaging, Computed tomography, Discrete wavelet transforms, Quantization, Magnetic resonance imaging, Data hiding, Brain, Distortion
Increasing transmission of medical data across multiple user systems raises concerns for medical image watermarking.
Additionaly, the use of volumetric images triggers the need for efficient compression techniques in
picture archiving and communication systems (PACS), or telemedicine applications. This paper describes an
hybrid data hiding/compression system, adapted to volumetric medical imaging. The central contribution is to
integrate blind watermarking, based on turbo trellis-coded quantization (TCQ), to JP3D encoder. Results of our
method applied to Magnetic Resonance (MR) and Computed Tomography (CT) medical images have shown that
our watermarking scheme is robust to JP3D compression attacks and can provide relative high data embedding
rate whereas keep a relative lower distortion.
With the increasing use of multimedia technologies, image compression requires higher performance as well as new features. To address this need in the specific area of image coding, the latest ISO/IEC image compression standard, JPEG2000, has been developed. In part II of the standard, the Wavelet Trellis Coded Quantization (WTCQ) algorithm was adopted. It has been proved that this quantization design provides subjective image quality superior to other existing quantization techniques. In this paper we are aiming to improve the rate-distortion performance of WTCQ, by incorporating a thresholding process in JPEG2000 coding chain. The threshold decisions are derived in a Bayesian framework, and the prior used on the wavelet coefficients is the generalized Gaussian distribution (GGD). The threshold value depends on the parametric model estimation of the subband wavelet coefficient distribution. Our algorithm approaches the lowest possible memory usage by using line-based wavelet transform and a scan-based bit allocation technique. In our work, we investigate an efficient way to apply the TCQ to wavelet image coding with regard to both the computational complexity and the compression performance. Experimental results show that the proposed algorithm performs competitively with the best available coding algorithms reported in the literature in terms quality performance.
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