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.
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
When determining the optimal JPEG quality for image compression, factors to consider include the desired level of image detail, file size constraints, and the intended use of the image. Balancing these factors will help achieve the best balance between image quality and file size.