Definition Of Image Quality Of Digital Imaging

in our multi­feature camera so that it would be at a 3½ star quality. In order to compensate for

DIGITAL IMAGES are electronic snapshots taken of a scene or scanned from documents, such as photographs, manuscripts, printed texts, and artwork. The digital image is sampled and mapped as a grid of dots or picture elements (pixels). Each pixel is assigned a total value (black, white, shades of gray or color), which is represented in binary code (zeros and ones). The binary digits ("bits") for each pixel are stored in a sequence by a computer and often reduced to a mathematical analog version for display or printing. http://preservationtutorial.library.cornell.edu/intro/intro-01.html

Digital Photography has become one of the most simplified and effective way of capturing and using the images. Digital images are very high in quality and also with the ease of viewing, editing and transferring it to any computers or mobile devices making it a very cost effective way of managing the images (Kornhaber, Betihavas, & Baber, 2015).

Pixel count - A pixel is a physical point in an image represented on the screen. The intensity of each pixel is variable. The more pixels, the better the quality. Resolution

Shi Et al [13] used a local projection profile at each pixel of the image, and transform the original image into an adaptive local connectivity map (ALCM). For this process, first the gray scale image is reversed so the foreground pixels (text) have idensity values of up to 255. Then the image is downsample to ¼ of each size, ½ in each direction. Next a sliding window of size 2c scans the image from left to right, and right to left in order to compute the cumulative idensity of every neighborhood. This technique is identical to computing the projection profile of every sliding window, (i.e. counting the foreground pixels), but instead of outpiting a projection profile histogram, the entire sliding window sum is saved on the ALCM image. Finaly

The goal of the feature extraction and selection is to reduce the dimension of the data. In this experiment the dimension of the AVIRIS and HYDICE images reduced to 20 from 220 and 191 respectively using PCA. From the PCA analysis we can see that image of principal component 1 is brightest and sharpest than other PCA image which is illustrated in figure-2.

In the modern years, medical imaging has become a very important aspect of medical field since its origin in the 1970s Image processing has developed into an integral part of medical science ranging from PET scan to melanoma detection. Both the hardware and software required for Image processing have improved drastically resulting in today’s world where the medical professionals can recognise and diagnose thousands of diseases using this technology.

In this report, I will talk about my understanding of the impact in various file format, the different compression techniques, and different resolutions and different colour depth. I will show print screens of different types of compression techniques, megapixels under image quality & resolution and three different types of colour depths. I will explain the reasons why some are larger compared to others. The format includes PSD, JPEG, TIFF, BMP and GIF. I will also go into detail why colour depths will affect the quality of the final output that the file has created.

Digital photography, though pretty much the industry standard at this point, is still a young technology. Many of the greatest advances in digital happened within the last ten years, and if you're a later adopter it's nothing to be ashamed of - there are millions of people out there that have never touched a digital camera.

Medical imaging is very important in our present day society but how does it work? Medical imaging works with this thing called waves .Radiation in medical imaging can be very helpful to people in detecting diseases and broken bones and more faster and without a lot of this stuff many people wouldn't be here or would be walking around with a broken bone.The advancements of medical imaging has advanced a whole lot over the years so now we know a whole lot about the body.

The most important application of the digital image processing is enhancement of the captured image, storage and transmission of the image.

Resolution is related to the numerical aperture of the objective lens – the higher the numerical aperture, the better the resolution; and the wavelength of light passing through the lens – the shorter the wavelength, the better the resolution.

The images were noisy, and the smaller sensor had a significant depth of field, limiting my subject isolation.

There are two detector types used by optical sensors, charge-coupled-devices (CCD) and CMOS based optical imagers. CCD detectors are sensitive to low light levels and are capable of making excellent grayscale pictures. CMOS optical imagers are manufactured in quantity and can be made with some of the image processing steps built into the chip resulting in a lower cost.

CCD is a device designed for the movement of electrical charge and then its further manipulation. It is one of the major digital image sensing technology used nowadays. Image sensors detects the amount of light falling on them. The image sensor consists of smallest element of an image i.e. pixel. The pixels are composed of p-doped metal oxide semiconductor(MOS).