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SWE 423: Multimedia Systems Chapter 7: Data Compression (4)

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Presentation on theme: "SWE 423: Multimedia Systems Chapter 7: Data Compression (4)"— Presentation transcript:

1 SWE 423: Multimedia Systems Chapter 7: Data Compression (4)

2 Outline JPEG –Introduction –JPEG Requirements –JPEG Modes and Procedure –JPEG 2000 –JPEG LS

3 Introduction JPEG (Joint Photographic Experts Group) is the result of a joint project between ISO and CCITT –ISO (International Organization for Standardization) Founded in 1947 An international standard-setting body composed of representatives from national standards bodies. –CCITT (Comité Consultatif International Téléphonique et Télégraphique) i.e. International Telegraph and Telephone Consultative Committee Since 1992 onwards known as ITU-T (International Telecommunication Union - ITU Telecommunication Standardization Sector) –Under UN Developed many standards –Group 3 and Group 4 protocols for sending faxes. –V.34 and V.90 standards for sending and receiving data from full duplex fax modems JPEG became an ISO standard in 1992.

4 Introduction JPEG applies to color and gray-scaled still images. –Motion JPEG handles video sequences through a fast coding and decoding of still images. Currently, implementations of parts of JPEG are available as s/w only packages or using special hardware support. –Most products support the absolutely necessary algorithms. –The commercially available JPEG includes the base mode with certain processing restrictions

5 JPEG Requirements These were put to ensure widespread distribution and application of JPEG. –Independence from image size –Applicability to any image aspect ratio and any pixel aspect ratio –Independence of the color space and the number of colors used –Unlimited complexity of image content –Currency regarding the compression factor and image quality –Platform independence of software solutions and major complexity reductions for h/w solutions –Support for sequential and progressive decoding –Support for lossless hierarchical coding with different resolutions

6 JPEG Modes

7 JPEG defines four modes –Lossy sequential DCT-based mode Must be supported by every JPEG decoder –Expanded lossy DCT-based mode Provides a set of enhancements for the base mode –Lossless mode Low compression ratio and perfect reconstruction of images –Hierarchical mode Accommodates images of different resolutions by using algorithms defined for the other three modes

8 JPEG: Image Preparation JPEG specifies a general image model that can describe most commonly used still image representations The mapping between coded color values and the colors they represent is not coded –Which requirements the above two properties satisfy? An image consists of at least one and at most N = 255 components or planes

9 JPEG: Image Preparation An image consists of at least one and at most N = 255 components or planes –Planes: RGB, YIQ, YUV Gray-scale images will consist of...... RGB color images will consist of... YUV color images will consist of...

10 JPEG: Image Preparation

11 Each pixel is represented by p bits –Values in the range of.... –Lossy modes of JPEG use p = 8 or 12 bits/pixel –Lossless modes can use 2 to 12 bits/pixel. –Applications must conform to the standards above (if needed, it must transform the image to conform to the above)

12 JPEG: Image Preparation Compressed data includes values of X (maximum of all X i ’s) and Y (maximum of all Y i ’s) as well as factors H i and V i for each plane representing the relative horizontal and vertical resolutions with respect to the minimal horizontal and vertical resolutions. –H i and V i are integers ranging between 1 and 4 –Example: 512  512 image consisting of 3 planes with the following factors: Plane 0: H 0 = 4 and V 0 = 1 Plane 1: H 1 = 2 and V 1 = 2 Plane 2: H 2 = 1 and V 2 = 1 leads to.... The image is divided into data units. –Lossless mode: 1 pixel = 1 data unit –Lossy mode: 8  8 pixels = 1 data unit (block) Consequence of DCT which always transforms connected blocks.

13 JPEG: Image Preparation Within each component, the data units are processed from left to right, as shown below (non-interleaved data ordering).

14 JPEG: Image Preparation Interleaved processing order of data units of different components


16 JPEG: Lossy Sequential DCT Mode

17 After image preparation, the uncompressed image samples are grouped into data units of 8  8 pixels. –The order is defined by the MCUs Each sample is encoded using p=8bit. Each pixel is an integer between 0 and 255 Image processing is carried out as follows –DCT-based transformation coding is carried out Pixel values are shifted into (-128, 127) interval –A forward DCT (FDCT) is applied to each transformed pixel value –For later reconstruction, the decoder uses the IDCT –Note that if the FDCT and IDCT computations were exact, it would be possible to reproduce the original 64 pixel values exactly. In practice, precision is limited, and therefore, the technique is lossy. JPEG does not specify a standard precision. Therefore, two different decoders may yield different images as output of the same compressed data.

18 JPEG: Lossy Sequential DCT Mode Image processing is followed by the quantization of all DCT coefficients –Lossy process. –Specific frequencies can be given more importance than others –Tables are used for the quantization and dequantization Must use the same tables for both processes –Image quality may decrease due to quantization

19 JPEG: Lossy Sequential DCT Mode

20 Quantization is followed by Entropy Encoding (using Huffman Coding only) –DC coefficients are encoded by subtracting the DC coefficient of the previous data unit Since changes are little in DC values of neighboring data units, the differences are stored instead of the values –Huffman coding is chosen because it is free (not patented) –However, coding tables must be provided by the application (one for DC and one for AC coefficients) –AC-Coefficients are processed using the zig-zag sequence

21 JPEG: Lossy Sequential DCT Mode


23 JPEG: Expanded Lossy DCT Mode Image preparation here differs from that of lossy sequential using p = 12 instead of p = 8 bits per pixel. The image processing step is analogue to that of lossy sequential. –JPEG also provides progressive coding, in addition to sequential coding, where the first decoding run produces a rough unsharp image that is refined during successive runs. –Arithmetic entropy coding can be used in addition to Huffman coding in expanded lossy DCT-based mode.

24 JPEG: Expanded Lossy DCT Mode

25 JPEG: Lossless Mode Use predictive technique (as explained earlier) One of eight predictors is selected.

26 JPEG: Hierarchical Mode The main feature here is the encoding of an image at different resolutions. –i.e. the compressed image contains images at several resolutions The process is done as follows –The prepared image is reduced by a factor of 2 n and compressed –The original image is then reduced by a factor of 2 n – 1 vertically and horizontally. The previously compressed image is subtracted from this one and the result is once again compressed –This process repeats until the image with full resolution is compressed Can use both lossy DCT-based techniques or lossless compression techniques Computationally intensive and requires considerable storage space. The advantage of this mode is that applications working with lower resolution do not need to first decode the whole image and then reduce the resolution.

27 JPEG 2000 Features –Provide better rate distortion tradeoff and subjective image quality at low bitrates (e.g. for PDA devices) –Provide lossless and lossy compression in a single bitstream (e.g. different parts of the image gets coded differently) Region of Interest Coding –Allow image resolutions greater than 64k  64k It can handle 2 32 – 1. –Provide a single decompression architecture

28 JPEG 2000 Features (Cont.) –Provide improved error-resilience for transmission in noisy environments (e.g. wireless networks) –Provide scalable progressive transmission from low to high bitrates without knowing the target bitrate apriori –Provide better performance on computer- generated imagery –Provide metadata to be stored along with image data

29 JPEG 2000 Operates in two coding modes –DCT-based –Wavelet-based Embedded Block Coding with Optimized Truncation (EBCOT), designed by Taubman –Partition each subband (LL, LH, HL, HH) produced by the Wavelet transform into small blocks (Code Blocks) –Each block is encoded independent of other blocks

30 JPEG LS Specifically aimed at lossless encoding Part of a larger ISO effort aimed at better compression of medical images –Actually it is the current ISO/ITU standard for Lossless or “Near Lossless” encoding Advantage of JPEG LS over 2000 is that it is based on a low-complexity algorithm: Low Complexity Lossless Compression for Images LoCo-I proposed by HP Exploits “Context Modeling”: taking advantage of the structure in the input source –Conditional probabilities of what pixel values follow from each other in the image

31 JPEG LS LoCo-I consists of –Prediction: predicting the value of the next sample x using a causal template –Context Determination: Determining the context in which x occurs –Residual Coding: Entropy coding of the prediction residual conditioned by the context. When the residual is quantized, near-lossless encoding is achieved where the reconstructed image is  far from the original image

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