From Albéniz to Arbós: the Orchestration of Iberia

Enrique Arbós's five orchestrations of pieces from Iberia, the masterly piano work by his close friend, Isaac Albéniz, are among the most frequently programmed works in the Spanish orchestral repertoire today. Increased academic interest in Albéniz's orchestral output has revealed that Arbós's orchestration of Albéniz's piano solo, "El Puerto," from Iberia, bears striking similarities with Albéniz's unpublished orchestration of the same piece. Although Albéniz asked Arbós to take over the task of orchestrating "El Puerto," little is known about the details of this arrangement. To shed light on this issue, I have carefully reviewed the overlapping biographies of these two composers, as well as thoroughly analyzed the two scores for the first time. I conclude that Arbós's orchestration of "El Puerto" is indeed a revision of Albéniz's orchestration, and that this revision was a natural result of their close relationship.

Texture-Detail Preservation Measurement in Camera Phones: An Updated Approach

Recent advances in mobile phone cameras have poised them to take over compact hand-held cameras as the consumer’s preferred camera option. Along with advances in the number of pixels, motion blur removal, face-tracking, and noise reduction algorithms have significant roles in the internal processing of the devices. An undesired effect of severe noise reduction is the loss of texture (i.e. low-contrast fine details) of the original scene. Current established methods for resolution measurement fail to accurately portray the texture loss incurred in a camera system. The development of an accurate objective method to identify the texture preservation or texture reproduction capability of a camera device is important in this regard. The ‘Dead Leaves’ target has been used extensively as a method to measure the modulation transfer function (MTF) of cameras that employ highly non-linear noise-reduction methods. This stochastic model consists of a series of overlapping circles with radii r distributed as r−3, and having uniformly distributed gray level, which gives an accurate model of occlusion in a natural setting and hence mimics a natural scene. This target can be used to model the texture transfer through a camera system when a natural scene is captured. In the first part of our study we identify various factors that affect the MTF measured using the ‘Dead Leaves’ chart. These include variations in illumination, distance, exposure time and ISO sensitivity among others. We discuss the main differences of this method with the existing resolution measurement techniques and identify the advantages. In the second part of this study, we propose an improvement to the current texture MTF measurement algorithm. High frequency residual noise in the processed image contains the same frequency content as fine texture detail, and is sometimes reported as such, thereby leading to inaccurate results. A wavelet thresholding based denoising technique is utilized for modeling the noise present in the final captured image. This updated noise model is then used for calculating an accurate texture MTF. We present comparative results for both algorithms under various image capture conditions.