Automatic Target Recognition Directed Image Compression
نویسندگان
چکیده
In this paper, we present a novel synthesis of two separate areas of image processing: automatic target recognition/cueing (ATR/ATC) and embedded image compression. In order to maximize the information content of a transmitted image, an ATR algorithm is used to detect potential areas of interest, and the compression algorithm regionally compresses the image, allocating more bits to the areas of interest. In this fashion, contextual information is retained, albeit at a lower resolution. Examples of the hybrid algorithm are
منابع مشابه
Information-Theoretic Bounds on Target Recognition Performance
This paper derives bounds on the performance of statistical object recognition systems, wherein an image of a target is observed by a remote sensor. Detection and recognition problems are modeled as composite hypothesis testing problems involving nuisance parameters. We develop information–theoretic performance bounds on target recognition based on statistical models for sensors and data, and e...
متن کاملA CFAR-enhanced Image Codec for SONAR ATR
The wavelet transform gives a compact multiscale representation of a digital image and provides a hierarchical structure which is well suited for post-processing. With its good localization property in both the spatial domain and the frequency domain, wavelet-based image compression has gained a huge success in the past several years. In this paper we present a wavelet-based image codec special...
متن کاملCompressive Underwater Video Camera
A tertiary goal, which we plan to explore in depth in future research, is the integration of image compression with automated target recognition (ATR). Two cases are of interest to this study. First, we have shown that one can achieve increased processing efficiency by applying specially configured ATR operations to compressed imagery [Sch97c,d]. Second, we have developed techniques for prefilt...
متن کاملVehicle Logo Recognition Using Image Matching and Textural Features
In recent years, automatic recognition of vehicle logos has become one of the important issues in modern cities. This is due to the unlimited increase of cars and transportation systems that make it impossible to be fully managed and monitored by human. In this research, an automatic real-time logo recognition system for moving cars is introduced based on histogram manipulation. In the proposed...
متن کاملDesigning and implementing a system for Automatic recognition of Persian letters by Lip-reading using image processing methods
For many years, speech has been the most natural and efficient means of information exchange for human beings. With the advancement of technology and the prevalence of computer usage, the design and production of speech recognition systems have been considered by researchers. Among this, lip-reading techniques encountered with many challenges for speech recognition, that one of the challenges b...
متن کامل