Extending sharpness calculation for an alternative loudness metric input

Extending sharpness calculation for an alternative loudness metric input.

Sound quality metrics help improve the psychoacoustic acceptability of devices and environments by modeling and thus enabling deliberate improvement of perceptual attributes. Sharpness as defined in DIN 45692 [(2009). Deutsches Institut für Normung, Berlin] requires inputs from Zwicker's loudness metric [ISO 532-1 (2017). International Organization for Standardization, Geneva]. This letter demo...

Phase-error correction for multiple planes using a sharpness metric.

Phase errors in multiple planes create an anisoplanatic (space-variant) blur in an image. We show how phase errors in multiple planes can be corrected with the use of a sharpness metric for heterodyne or holographic imaging. We derive the theoretical framework necessary for this anisoplanatic imaging situation. A digital simulation and results are presented. We demonstrate the success of this n...

Implementing sharpness using specific loudness calculated from the "Procedure for the Computation of Loudness of Steady Sounds"

Sharpness metric for no-reference image visual quality assessment

This paper presents a novel sharpness metric for color images. The proposed metric can be used for no-reference assessment of image visual quality. The metric basically relies on local power of wavelet transform high-frequency coefficients. It also takes into account a possibility of the presence of macrophotography and portrait photography effects in an image where the image part (usually cent...

Image Sharpness Metric Based on Algebraic Multi-Grid Method

In order to improve Mean Square Error of its reliance on reference images when evaluating image sharpness, the no-reference metric based on algebraic multi-grid is proposed. The proposed metric first reconstructs the original image by Algebraic Multi-grid (AMG), then compute the Mean Square Error between original image and reconstructed image, the result represents image sharpness. Experiments ...