In general, the more you compress the less you enhance.
The difference in image quality between JPG 20 and JPG 100 compression levels is that JPG 20 has higher compression, resulting in lower image quality and more visible compression artifacts, while JPG 100 has lower compression, resulting in higher image quality with less visible compression artifacts.
Image restoration means improving the image to match the original image. Image enhancement means improving the image to show some "hidden" details / bringing into evidence some part of the image. It only applies locally and is not necessarily constrained to match the original real image.
Signal processing's goals include many things, most importantly: sampling, quantization, noise reduction, image enhancement, image understanding, speech recognition, and video compression.
Competence and image enhancement helps in the enhancement of quality with addressing the social devaluation.
Image Compression – This is about reducing the file size of an image while trying to keep its quality. It doesn’t really change what the picture looks like (aside from possible slight quality loss), it just makes the file smaller so it’s easier to store or share. Example: shrinking a 5MB photo into 500KB so it loads faster online. Image Editing – This is about changing or improving the visual content of the image. It could mean adjusting colors, removing objects, adding text, cropping, or retouching. The goal here is to modify the appearance, not just the file size. In short: compression = smaller file size, editing = visual changes.
compression ratio=uncompressed image size/compressed size
motivation of lossless image compression
The main differences between JPG and TIF file formats are in their compression methods and quality. JPG uses lossy compression, which reduces file size but can lead to loss of image quality. TIF uses lossless compression, preserving image quality but resulting in larger file sizes. For high-quality image preservation, TIF is generally considered better due to its lossless compression and ability to retain all image details.
image compression makes the image smaller in order to fit a desired size. you literally compress the image and make it smaller in bit size.
To find out the relation in between words in a sentence.To find the relation between word and the world.To find out the relation between spoken and written.To find out the relation between thought and its thinker,seer and seen,word and its image and so on.
Image Enhancement is trying to improvise the quality of image over received or initial image.It is a subjective process. Meaning it varies from person to person to what extent the quality has to be fined to. Techniques involved are- 1. POINT PROCESSING. A IMAGE NEGATION B LOG COMPRESSION C CONTRAST STRETCHING D GREY LEVEL SLICING(WITH OR W/O BACKGROUND CONSERVATION) E BIT PLANE SLICING 2. NEIGHBORHOOD PROCESSING A HISTOGRAM EQUALIZATION B HISTOGRAM SPECIFICATION
1. Image acquisition 2. Image restoration/enhancement 3. Image segmentation 4. Image interpretation