Abstract: Methods and systems for auto-tuning a handheld scanning device that can account for changes in the orientation between the handheld scanning device and a presented symbol can include capturing a first image containing a presented symbol, recording an orientation parameter and parameters associated with capturing the first image containing the presented symbol, capturing a subsequent image containing the presented symbol, recording an orientation parameter of the presented symbol contained in the subsequent image, comparing the orientation parameter of the symbol contained in the subsequent images to the orientation parameter of the presented symbol contained in the subsequent image, determining if the orientation parameter of the presented symbol contained in the subsequent images is substantially similar to the orientation parameter of the symbol contained in the first image, and recording parameters associated with capturing the subsequent images containing the presented symbol.

Abstract: Methods and systems for auto-tuning a handheld scanning device that can account for changes in the orientation between the handheld scanning device and a presented symbol can include capturing a first image containing a presented symbol, recording an orientation parameter and parameters associated with capturing the first image containing the presented symbol, capturing a subsequent image containing the presented symbol, recording an orientation parameter of the presented symbol contained in the subsequent image, comparing the orientation parameter of the symbol contained in the subsequent images to the orientation parameter of the presented symbol contained in the subsequent image, determining if the orientation parameter of the presented symbol contained in the subsequent images is substantially similar to the orientation parameter of the symbol contained in the first image, and recording parameters associated with capturing the subsequent images containing the presented symbol.

Abstract: Methods and systems for auto-tuning a handheld scanning device that can account for changes in the orientation between the handheld scanning device and a presented symbol can include capturing a first image containing a presented symbol, recording an orientation parameter and parameters associated with capturing the first image containing the presented symbol, capturing a subsequent image containing the presented symbol, recording an orientation parameter of the presented symbol contained in the subsequent image, comparing the orientation parameter of the symbol contained in the subsequent images to the orientation parameter of the presented symbol contained in the subsequent image, determining if the orientation parameter of the presented symbol contained in the subsequent images is substantially similar to the orientation parameter of the symbol contained in the first image, and recording parameters associated with capturing the subsequent images containing the presented symbol.

Abstract: Methods and systems for auto-tuning a handheld scanning device that can account for changes in the orientation between the handheld scanning device and a presented symbol can include capturing a first image containing a presented symbol, recording an orientation parameter and parameters associated with capturing the first image containing the presented symbol, capturing a subsequent image containing the presented symbol, recording an orientation parameter of the presented symbol contained in the subsequent image, comparing the orientation parameter of the symbol contained in the subsequent images to the orientation parameter of the presented symbol contained in the subsequent image, determining if the orientation parameter of the presented symbol contained in the subsequent images is substantially similar to the orientation parameter of the symbol contained in the first image, and recording parameters associated with capturing the subsequent images containing the presented symbol.

Abstract: Image processing parameters for gradation correction of a digital image from a scene, which includes specular reflections may be seriously influenced by the presence of those specular reflections. Therefore, a method is developed to detect the presence of specular reflections in a scene, to modify the exposure time of the photo-sensitive means, which converts a luminous image to electronic image signals and to apply a gradation correction to the image data thus acquired. In one embodiment a digital camera is used to capture the image data, a cumulative histogram is built and two characteristic cumulative frequencies are used to determine via the histogram specular densities and highlight densities. The relative position of these density values indicates whether specular reflections are present, and give suitable parameters for setting an optimal exposure time and for computing a gradation correction curve.

Abstract: A method is described for selective color correction of an original color image. In one embodiment, a color is selected by picking a colored pixel from the color image and a changed color, having a restricted color change, is associated with the selected color. All original colors, situated within a local color gamut, comprising the selected color, undergo a color modification according to the color change. The effect of the modification decreases as the original color reaches the boundary of the local color gamut. The selected color and changed color may be defined in the native color space, the local color gamut is preferentially defined by an action radius related to a psychometric color space. Two or more selective color corrections may be combined by a weighted mean modification, by choosing for each color change a weight value, which decreases as the selected color is more different from the original color.