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It's a good and intuitive product. the only technical glitch is that some of the larger text boxes are shifted over to the right by a fraction of an inch and outside the printable area of most printers.
Anonymous Customer
2015-06-20
I couldn't print directly so I followed instructions for converting document into PDF file on my computer - smooth sailing after that. I like the paper trail of all activities with forms - very helpful to review My Account and see what I have done.
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2016-02-09
Great and simple pdf editor Easily edit, share and secure pdf documents. This is a basic pdf editor that does everything I need. You can edit by adding text, making notes, make tables, add a signature area, etc. It is also very secure and easy to share and collaborate. Even the free version is awesome. It's not the fanciest, smoothest software but it gets the job done. I would like to see the interface beautified a bit.
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2020-06-29

Reconstruct Image Form Feature

The Reconstruct Image Form feature offers a seamless way to enhance your visual content. It allows you to restore, convert, and optimize images effortlessly. This tool meets the needs of users looking for high-quality imagery and a straightforward process to achieve their desired results.

Key Features

Effortless image restoration that brings clarity to your visuals
User-friendly interface designed for all skill levels
Quick conversion options to various formats
Optimized storage solutions to save your images without compromising quality
Supports batch processing for large projects

Potential Use Cases and Benefits

Improve marketing materials with sharp, professional images
Restore old family photos for memorable keepsakes
Enhance product visuals for e-commerce websites
Create stunning graphics for social media posts
Prepare images for printing with precision and quality

This feature solves common image-related problems such as poor quality or incompatible formats. By utilizing the Reconstruct Image Form feature, you can ensure your visual content looks its best, engages your audience, and effectively communicates your message.

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The standard method of reconstructing CT slices is back projection. This involves “smearing back” the projection across the image at the angle it was acquired. By smearing back all the projections, you reconstruct an image.
Image reconstruction in CT is a mathematical process that generates tomographic images from X-ray projection data acquired at many angles around the patient. Two major categories of reconstruction methods exist, analytical reconstruction and iterative reconstruction (IR).
Image reconstruction is the term describing the calculation of images from the raw data obtained from the detector modules of the CT scanner. This is a process that cannot be performed in real time. Reformatting or other three-dimensional (3D) image manipulation of the image data is still possible.
(FOR) The field of view is the maximum diameter of the area of the scanned object that is represented in the reconstructed image. (SFO) The scan field of view is the area being scanned. This selectable scan factor is measured from a CT system center to the most distant located edge of the patient.
Iterative reconstruction refers to iterative algorithms used to reconstruct 2D and 3D images in certain imaging techniques. For example, in computed tomography an image must be reconstructed from projections of an object.
A sonogram is a special x-ray procedure that is done to visualize any abnormal opening (sinus) in the body, following the injection of contrast media (x-ray dye) into the opening. There are no diet restrictions before a sonogram.
The kernel, or convolution algorithm, refers to the process used to modify the frequency contents of projection data prior to back projection 1. This process corrects the image by reducing blurring 1. The kernel affects the appearance of image structures by sharpening the image.
The reconstruction kernel, also referred to as filter or algorithm by some CT vendors, is one of the most important parameters that affect the image quality. A smoother kernel generates images with lower noise but with reduced spatial resolution.

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