دانلود رایگان مقاله فشرده سازی شدید تصاویر در مقیاس خاکستری – سال 2021
مشخصات مقاله:
عنوان فارسی مقاله:
فشرده سازی شدید تصاویر در مقیاس خاکستری
عنوان انگلیسی مقاله:
Extreme compression of grayscale images
سال انتشار مقاله:
2021
مناسب برای رشته های دانشگاهی زیر:
کامپیوتر
مناسب برای گرایش های دانشگاهی زیر:
مهندسی نرم افزار
وضعیت مقاله انگلیسی و ترجمه:
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فهرست مطالب:
Abstract
1. Introduction
2. V-variable image compression
2.1. Description of our V-variable image compression method
2.2. Storage requirements
2.3. Reconstruction of an image from its code
2.4. Automating the V-variable image compression algorithm
2.5. Finding the optimal V for a given memory requirement
2.6. Simulations
3. Comparison with other image compression methods
4. Generalisations
4.1. Non-square images
4.2. Clustering methods
4.3. Generalised image pieces
4.4. Reducing the colour space
Declaration of Competing Interest
Acknowledgement
References
قسمتی از مقاله انگلیسی:
1. Introduction
A digital j × k pixels image consists of j · k pixels where each pixel is assigned a “colour”, i.e. an element of some finite set, C, e.g. C = {0, 1, 2, . . . , 255} l , where l = 1 for (8 bit) grayscale images or l = 3 for (24 bit RGB) colour images. Image compression methods can be of two types: Lossless image compression methods preserves all image data, while lossy methods removes some data from the original file and saves an approximate image with reduced file size. One common lossless format on the internet, supported by most modern web-browsers, is PNG (Portable Network Graphics). The PNG format is used in particular for images with sharp colour contrast like text and line art, and is considered to be a suitable format for storing images to be edited. One disadvantage with lossless formats is that the file sizes are often very large when compared with lossy formats. Lossy compression of colour images is often obtained by reducing the colour space, or by chroma subsampling using the fact that the human eye perceives changes in brightness more sharply than changes in colour. The most common lossy compression format, especially for photographic images, is JPEG (Joint Photographic Experts Group). JPEG usually gives small file sizes, but one artifact with JPEG is apparent “halos” in parts of the image with sharp colour contrasts, reflecting the fact that the JPEG method belongs to the realm of Fourier methods. Similar “halo” features are also apparent in the better, but more complicated and therefore less widespread, wavelet based JPEG 2000 method.
