Among other goals industry research aims at identifying evaluation methodologies and quantifiable parameters (like modulation transfer function, noise, sharpness etc).
The application of compression force and the resultant pain can affect client experience, radiation dose and image quality (noise, sharpness, movement artefacts), and needs to be addressed in radiographer education and training.
The stimulus itself, although very simple in form, exhibits the attributes that correspond to each particular type of visible enhancement including elements such as "glow," camera noise, edge "sharpness"/ blur"/ detail," etc., all characteristics that have the potential to influence human perception.
The Landolt C images utilized in our research, although redundant in overall shape, demonstrate the inherent elements present in single-band imagery and algorithmic fusion (e.g., "glow," camera noise, edge "sharpness"/ blur"/ detail") within a tightly controlled image capture environment.
According to this report, the techniques of statistical DMT should be used as a standard procedure to treat problems of image detection, edge detection, noise and sharpness.
The new rear camera has had its pixel count boosted from eight megapixels to 12, promising reduced image noise, greater sharpness and realistic colours.
The frequencies of the sound sources were chosen by considering frequency band of background noise and sharpness of autocorrelation of signal.
To assess the quality of the X-ray CT greyscale images, measures of contrast, noise and sharpness are proposed and tested on a series of images of five different soil samples.
The a58 has a few new tricks up its sleeve, including a new sensor and new BIONZ processor, which allows it to selectively dial down digital image noise and sharpness in different parts of the same photograph, meaning it can preserve detail in lighted areas and make blacks much blacker in others, which should be particularly useful for nighttime photography.
They're experimenting with larger sensors and suggested that it may be possible to derive a larger static image from the raw light field data, but for now, the 1080×1080 image with questionable noise and sharpness levels is all you're getting.
If the soil sample image quality is sufficiently favourable in terms of contrast, noise and sharpness, the pore identification is less complicated, and the PFCM clustering algorithm can be used without additional processing; otherwise, images require pre-processing before using this algorithm.
