
Philips Semiconductors
PNX15xx Series
Volume 1 of 1
Chapter 2: Overview
PNX15XX_SER_3
Koninklijke Philips Electronics N.V. 2006. All rights reserved.
Product data sheet
Rev. 3 — 17 March 2006
2-14
Stores video data inside the video acquisition window in system memory in any
of the native pixel formats indicated in
Table 5, and performs error feedback
rounding to convert the10-bit input to the selected format.
Provides an internal Test Pattern Generator with NTSC, PAL, and variable format
support.
Acquires VBI data using a separate acquisition window from the video acquisition
window.
Performs horizontal scaling, cropping and pixel packing on video data from a
continuous video data stream or from a single eld or frame.
ANC header decoding or window mode for VBI data extraction.
Horizontal up scaling up to 2x.
Interrupt generation for VBI or video written to memory.
SD pixel frequency up to 81 MHz input clock (SD using up to 10-bit YUV CCIR-
656).
HD pixel frequency up to 81 MHz input clock (HD using 20-bit YUV input format).
color space conversion (mutually exclusive with scaling).
raw data capture up to 81 MHz in either 8- or 10-bit, packed mode with double
buffering.
VIP shares its allocated pins with the FGPI module through an input router.
Section 9.shows the different operating modes of VIP and FGPI modules.
7.3 Memory Based Scaler
The PNX15xx Series contains a Memory Based Scaler that performs operations on
images in main memory. The scaler hardware can either be controlled task by task by
the TM3260, or it can be given a list of scaling tasks. The performance of the scaler
on large images is typically limited either by the 120 Mpixel/s internal processing rate
or by the allocated main memory bandwidth.
The PNX15xx Series MBS can perform:
de-interlacing using either a median, 2-eld majority select, or 3-eld majority
select algorithm with an edge detect/correct post-pass (these three provide
increasing quality, at the expense of increased bandwidth requirements)
edge detect/correct on an input frame that has been software de-interlaced (this
provides future capabilities in case we develop a better core de-interlacer than 3-
eld majority select)
horizontal & vertical scaling (on the input image, or on the result of edge detect/
correct stage)
linear and non-linear aspect ratio conversion
anti icker ltering