Performance Driven Validation Applied to Video Processing
نویسندگان
چکیده
This paper presents a systematic method to validate implementations of video processing algorithms. This is useful when translating algorithms implementations from a floating-point to fixed-point precision. The method takes advantage of an automatic word length determination tool and an Objective Image Quality Metric (OIQM) to implement a performance driven validation. Since results obtained with existing OIQM show anomalies inside images due to numerical instabilities, a new OIQM is proposed. It combines a global and a local metric to remove anomalies inside the resulting images. Experimental results obtained with the Wiener filter are presented to illustrate the validity of our approach. Key-Words: Objective Image Quality Metric, Validation, Video Processing, Wiener Filter.
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