JPEG

2. Export the image as a JPEG file: • Ensure a high quality image, with a score of 11 or more on Photoshop scale (or equivalent). • The shortest side of your picture (the width for a portrait, the height for a landscape) should have a resolution of at least 3,000px. • The size

ABSTRACT We focus on approximate algorithms for the computation of the 8-point DCT. While not computing the DCT exactly, approximate methods can provide meaningful estimations at low-complexity requirements. Prominent techniques include the signed discrete cosine transform (SDCT), the Bouguezel–Ahmad–Swamy (BAS) series of algorithms, and the level-1 approximation by Lengwehasatit-Orteg. All above mentioned techniques possess extremely low arithmetic complexities. These techniques have some defaults

A guide for Image Optimization for a website For every photographer, amateur and professional the only thing more important than your camera is your pictures. The same goes for designers, artists and generally every person who spend a significant amount of time and energy in creating beautiful and meaningful images and obviously you’d want to show off your creations to the world. Then comes uploading those on a website or social media to be shared generously amongst your clients, peers and friends

Medical imaging, as we all know, is the process of taking images of various parts of the human body for diagnostic and surgical purposes. Some of the popular medical imaging modalities are X-ray radiography, Magnetic resonance imaging, Medical ultrasound, Computed tomography etc. Since, these images contain clinical data of extreme importance for treatment follow-ups and are acquired at cost of radiation exposure, infrastructure, money and time involved. Thus, once acquired, the medical imaging data

generation. In this paper, we perform watermarking on different types of images like BMP, JPEG etc.., and the input image is pre-processed and converted into JPEG-LS format which contains enhanced quality. Keywords : JPEG Steganography, uniform embedding, distortion function design.________________________________________ 1.INTRODUCTION Digital Watermarking technique is used to hide a small image in jpeg, jpg, bmp image of data in a digital signal in such a way

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. File formats: As you know, there are 5

block is also a (8×8) block composed of P(m,n). As a result of transformation, the element in the upper most left corresponding to zero frequency in both directions is the DC coefficient and the rest are called as AC coefficients. QUANTIZATION IN JPEG Quantization is a lossy step where we loose data. The DCT is a lossless procedure , the data undergoing through this procedure can be precisely recovered through the IDCT . During Quantization every coefficients in the (8×8) DCT matrix is

a final conclusion about the best ones to use for certain tasks. Seen as there are numerous different uses for images it means that the quality will differ for different purposes. The formats which I will be discussing within this report include JPEG, GIF’s, TIF, PSD and BMP. All these formats are made for different reasons and I will be explaining these differences in quality and file size. Each format varies in the depth of the colour within the image, some have larger colour depth meaning that

Abstract— This paper presents the design of an optimized Compressive Sensing (CS) based image compression technique for data transmission over mobile wireless noisy channel. The proposed technique is more robust to channel noise. It uses individual measurement driven coding scheme, which facilitates simpler encoder design. The shift of computational burden from encoder to decoder is more suitable for mobile devices applications where computational power and battery life are limited. This paper also

Discrete Wavelet Transform DWT is a frequency based transform which is performed on wavelets. It can be 1-D, 2-D and etc. It divides an image into four sub-bands, namely  LL (Low resolution image)  HL (Horizontal)  LH (vertical)  HH (diagonal) This division can be performed up to many levels. It captures not only notion of frequency content but also temporal content. Wavelets provide a mathematical way of encoding information in such a way that it is layered according to level of detail