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In this section, we will be discussing about the processing of raw image into file formats like JPEG, TIFF etc. For the same RAW FILE format should be taken as an example. To consider the case of processing image, we will be taking into account the raw pixel from the CCD of camera. This goes through the process of development, demosaicing, by locating the color values. The developing stage means to convert the raw file into a standardized image file. This is then stored into the memory car after conversion. This may also involve reversible and irreversible methods of the same.
For this, one should also know the concept of RAF images. RAF refers to the raw image format found in mainly the FUJI cameras. This is the format that has not yet been processed and hence, cannot be obtained in photo or printed form. This can actually be used as photo negatives. Compared to other image formats, the color gamut is quite high. However, it represents the exact quality and formation of images, the process of re-processing such images needs extra attention and time; hence, the photographers are not very inclined to this format.
Following are the steps in conversion of raw image files into JPEG and TIFF:
This can be termed as a process that is inclusive of processing raw image data. This is quite helpful in conversion in a less amount of time, as compared to other methods. This process works very effectively in a PC as compared to the cameras. This is more due to its high processing power than the digital cameras. Since it offers better algorithms in image processing, it ensures better image quality, less noise etc. The image resolution is softened a bit when converted into JPEG image (Cofield, 2005).
This process is able to match the real colors; since the digital camera is not able to perceive things in the real way, white balance helps to eradicate unrealistic colors. White Balance that is flexible, set two times, one during the conversion from RAW file to JPEG and during the post-processing process.
Now, it’s turn to explain one of the most important image processing techniques to be employed in data image processing. Following are the most important digital image processing techniques:
Pixelation refers to blurring of an image; in this case, the image look pretty fine when it is not zoomed in, however on zooming, the image gets blurred off. Here, the naked eye is able to differentiate between individual pixels and observe them. However, this can also be performed intentionally to omit salacious scenes in movies or censor vulgarity. This is an important scene of image processing Sachs, J (1996).
Pixelate view of image
Image after the noise is reduced
This is the method of alleviating the noise present in the images. This is extremely important as this method is used to eliminate noise in images without eradicating relevant parts in the image. This is quite relevant for representation and interpretation of the whole image. This helps in the smoothening of the image and the resulting into linear structures. This can be expressed by the diffusion constant equation.
In today’s era, storage of digital images have become quite convenient, as well as important. In this section, we will be taking a look at the process that is involved in this concept. Mainly, the digital form are termed to be compressions. These are mainly of two categories i.e. lossy and lossless.
These are compressions in which the information related to images is diminished and it not retain. This is important as well as in wide use in images.
Extensions: .JPG, .JPEG, .JIF, .JFIF and .JPE
In Lossless Compressions, the image information is retained. Hence, it is highly important in archival resources. In medical, comical imaging, it is highly relevant.
Extensions: .BMP, .TGA, .TIFF, .GIF, .PNG and .MNG (Cofield, 2005).
In the process of compression, it should be considered that image data is not lost and does not end up being altered to a great extent.
The management part can be done through data documentation method. The process comprises the following:
Metadata is the place where all these details are listed. With the help of metadata, one gets to find out any explanatroy form of research. Through the image metadata, one can know the owner of the image, copyright validations, contact notes, the recording device etc. date of recording the image, compression values etc.
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