Digital Video Quality

Digital video quality is always an issue after the processing of data on a storage unit and the transfer of the recorded material onto a computer. Beside the possible quality issues of equipments, e.g. the surround sound wiring, used for replay, the problem comes from the fact that digital video quality can be distorted or impaired during processing, even if the incidence rate for deterioration is much lower as compared to analog videos for example. Some applications even require an evaluation of the digital video quality.

According to expert criteria, you can evaluate the digital video quality with sound by analyzing different sequences from the database. From this perspective, the performance of a certain system depends on the dynamic features of the input video signal, which includes the spatial and the amount of motion in the video. The objective approximation of digital video quality is performed by mathematical models based on metrics. The objectivity of the analysis only results when you introduce the data into a computer program to achieve the actual measurement.

Peak-signal-to-noise ratio or simple signal-to-noise ratio are the traditional ways of determining digital video quality; both methods are objective and they are relevant and useful for multimedia purposes. Sometimes several other tests are necessary before the digital video quality for compression-decompression can be determined. Such tests are usually impractical and time consuming, and they have no relevance for the average consumer.

Besides the objective analysis of digital video quality, anyone can pass a subjective judgment. Normally, a trained expert should judge the parameters, yet it is common practice to take a group of experiments and show them several video sequences. Their opinions or reactions are then recorded and the average results from the evaluation of each sequence in particular. Regardless of the evaluation method, digital video quality is always superior to analog videos. And the quality is all the more relevant for larger visuals than for smaller ones.

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