Digital Image And Its Effect On The Quality Of Image

In accession to the binary images, the proposed method may be tested on discrete color images also. These type of

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.

Finally, once you've uploaded and edited your images, you'll probably want to share them with your friends and family. There are many different ways to share photos, but the most popular are using sites like Facebook or Flickr. Sharing your photos online allows your friends and family to see how you're doing without you taking the time and effort to print out and mail them

For years, the rage in photography has been color. The old black and white methods of taking pictures were all but forgotten. Over the past little while, new interest in the black and white photos has surfaced. One has to admit there is something magical about these.

Computer-generated imagery was being developed during the 1980s and it soon started being used in films for effects. Rickitt (2006) explains that effects during the 80s were not just there to solve problems and producing impossible shots like their initial purpose but used as a marketing tool for films to promote themselves based on the quality of the image and amount of visual effects involved. Star Wars was the first film to make use of this marketing tool and made people grow more interest on the film itself as well as the effects and of course, this brought more income to the studios. This trend of using effects to promote films was immediately picked up and abused, but it did not last long. Tron (1982) was the first film based almost entirely on computer-generated scenery and massively advertised for them. However it ended up failing at the box office even though it had superb computer generated effects at the time of its release. Rickitt described that the failure of Tron could have been what made visual effects take longer to develop and being incorporated in films. This was the first sign that a film heavily equipped with effects does not mean that it would make a hit. Narrative is an important element of a film and effects cannot compensate for a bad narrative (McClean, 2007).

However as the authors stressed, probably more significant than the change in how images are produced, distributed and used, are the ideas to which the changes are giving rise and how digital imaging is challenging and changing traditional ways of seeing and thinking. It seems that our traditional belief that ‘the camera never lies’ has been brought into question. It also appears important to consider who

In a world where everything is digital and photographs are normally taken with the digital cameras, but there are number of photographers who are still shooting with film or there are some who are newly interested in film formats.

Nowadays it’s easy to forget the impact that digital imaging has had on society as we are so use to its benefits. Digital Imaging has done some amazing things, such as bring the ability to capture still and moving images of everyday life to iconic moments such as the moon landing. We also have the ability to create digital illustrations to provide insight, to persuade and to provoke thought.

Filtering an image in the frequency domain is usually composed of three steps. First, the Fourier transform is calculated (DCT or DFT). Then, a certain operation is performed on the frequencies

Many digital services need reliable protection in storage and transmission of digital images. Due to the quick development of the internet in the digital globe nowadays, the protection of digital pictures has come to be extra vital and enticed far attention. The prevalence of multimedia knowledge in our area has promoted digital pictures to frolic a extra momentous act than the established texts, that demand weighty protection of users ' privacy for all applications.

An image is a 2 dimensional representation of a 3 dimensional scene. A Digital Image is a graphical representation of an object. Digital Image Processing abbreviated as DIP is the manipulation of digital image by a processor. Image Registration is one of the techniques used in Digital Image Processing. Registration refers to merging and fusion of 2 or more data.

In image processing, noise reduction and restoration of image is expected to enhance the qualitative inspection of an image and the performance criteria of quantitative image analysis methods Digital image is inclined to a variety of noise which attribute the quality of image. The main purpose of de-noising the image is to reinstate the detail of original image as much as possible. The criteria of the noise removal problem depends on the noise type by which the image is contaminated .In the field of reducing the image noise variously type of linear and non linear filtering techniques have been proposed . Different approaches for reduction of noise and image betterment have been considered, each of which has their own

in a spatially variant manner because mapping function processes for each individual pixel. Local operators characterized that more satisfactorily than global operators in terms of the detail preservation and compression ratio of the dynamic range. Also, there are two tone mapping model linear tone mapping model and nonlinear tone mapping model. Linear model does not need multiscale decomposition or segmentation of the images into binary or fractional maps, where the problems associated with layer decomposition are not found. Linear model not only interested in making the output images look natural by enhancing pixel intensity more significantly in highlights, but also satisfies high radiance similarity with the ground truth HDR images. The problem appears when using linear model that usually fails when luminance value of a local patch changes abruptly. Also, the dynamic range of the dark region will be compressed at the same rate as the bright pixels, which causes losing details in this patch. Nonlinear model synchronize with the nonlinear relationship between the physical magnitudes of effects and the perceived intensity of the effects. Nonlinear model function depends on instead of linearly compressing the contrast of a patch in an input HDR image, it adopt the local gamma correction strategy which can not only effectively compress the bright pixels but also enhance the dark ones in one hit even in challenging patches Compared with the locally linear model, nonlinear

In this project, our aim is to exhibit a detailed study of the types and sources of document image degradations and then review the techniques for document image degradation. At the end, we discuss some measures and conduct experiments that are used to characterize document image quality.

Digital image processing is the use of computer algorithms to perform image processing on digital images. Digital image processing has the same advantages over analog image processing as digital signal processing has over analog signal processing it allows a much wider range of algorithms to be applied to the input data, and can avoid problems such as the build-up of noise and signal distortion during processing. Image processing is a subclass of signal