We incorporate, evaluate, and assess the feasibility of using filter banks in automated pavement distress systems from a system level. We integrate a novel filter-bank-based distress segmentation method, which, unlike previously researched methods, does not depend on highpass data. In addition, we incorporate the standard Said Pearlman set partitioning in hierarchical trees compression coder into the automated pavement distress system, which is a first in this area of research. A third contribution of the research is a statistical detection algorithm that assists in overall system performance. Preliminary testing using images provided by the Georgia Department of Transportation demonstrate the promise of the proposed method.
Subband/Wavelet filter analysis-synthesis filters are a major component in many compression algorithms. Such
compression algorithms have been applied to images, voice, and video. These algorithms have achieved high performance. Typically, the configuration for such compression algorithms involves a bank of analysis filters whose coefficients have been designed in advance to enable high quality reconstruction. The analysis system
is then followed by subband quantization and decoding on the synthesis side. Decoding is performed using a
corresponding set of synthesis filters and the subbands are merged together.
For many years, there has been interest in improving the analysis-synthesis filters in order to achieve better
coding quality. Adaptive filter banks have been explored by a number of authors where by the analysis filters
and synthesis filters coefficients are changed dynamically in response to the input. A degree of performance
improvement has been reported but this approach does require that the analysis system dynamically maintain
synchronization with the synthesis system in order to perform reconstruction.
In this paper, we explore a variant of the adaptive filter bank idea. We will refer to this approach as
fixed analysis adaptive synthesis filter banks. Unlike the adaptive filter banks proposed previously, there is no analysis synthesis
synchronization issue involved. This implies less coder complexity and more coder flexibility. Such an
approach can be compatible with existing subband wavelet encoders. The design methodology and a performance analysis are presented.
In this paper, an H.264/AVC video coding strategy is introduced that employs a spatial-temporal video sequence
representation in which video frames are coded at a low spatial sampling rate and reference I frames are coded
at high spatial resolution. High spatial frequency information is re-synthesized at the receiver side using an
adaptive motion estimation and warping method. The approach as presented is shown to improve coding quality
for sequences with low to moderate motion.
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