In-car navigation systems have grown in complexity over the recent years, most notably in terms of route
calculation, usability and graphical rendering. In order to guarantee correct system behavior, navigation systems
need to be tested under real operating conditions, i.e. with field-tests on the road. In this paper, we will focus
on a fast compression solution for 2D navigation renderings, so that field-tests can be archived and handed over
to software engineers for subsequent evaluation. No parameters from the rendering procedure are available since
access to the system is limited to the raw display signal. Rotation is a dominant factor throughout all navigation
sequences, so we show how to reconstruct rotational motion parameters with high accuracy and develop a Global
Motion Estimation (GME) method as support for a subsequent H.264/AVC video encoder. By integrating ratedistortion
optimization concepts into our scheme, we can efficiently omit the segmentation of static and non-static
areas. The runtime of the compression solution, which achieves bitrate savings of up to 19.5%, is evaluated both
on a laptop CPU and an embedded OMAP4430 system on chip.
In recent years, a new technique called High Dynamic Range (HDR) has gained attention in the image processing
field. By representing pixel values with floating point numbers, recorded images can hold significantly more
luminance information than ordinary integer images. This paper focuses on the realization of a lossy compression
scheme for HDR images. The JPEG2000 standard is used as a basic component and is efficiently integrated into
the compression chain. Based on a detailed analysis of the floating point format and the human visual system,
a concept for lossy compression is worked out and thoroughly optimized. Our scheme outperforms all other
existing lossy HDR compression schemes and shows superior performance both at low and high bitrates.
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